Databricks

SLSQ327R41 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks . Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks Denmark. As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. You will report to the Sales Director for Denmark and Norway. The impact you will have: You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: Exstensive experience selling complex solutions to Enterprise Customers You will have experience managing and leading complex, federated sales campaigns in major accounts You will have experience working in Data, Cloud industries with some technical sales experience Proof of exceeding sales quotas in high-growth Enterprise software companies You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting Bachelor's Degree or relevant work experience Fluency in English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(GAQ427R230) About the role As customers build their mission-critical data and AI workloads on Databricks, our shared cloud platform infrastructure is scaling at unprecedented speed. We are looking for a Product Finance Senior Manager to own the economics and financial operations of our multi-cloud platform spend. You will be a key finance partner to our Cloud Engineering and Infrastructure Operations leaders, with a mandate that spans driver-based cloud forecasting, infrastructure efficiency roadmaps, and scalable cost attribution across our product portfolio. The impact you will have • Drive analytics and modeling to understand how platform spend scales • Lead deep data analytics to identify the underlying drivers of shared cloud platform spend across products, cloud providers, and global regions. • Build robust, driver-based forecasting models that accurately predict infrastructure spend across regional expansion, customer scale, and new product launches. • Partner with Cloud Infrastructure Operations to design a forward-looking cost attribution model that accurately maps shared platform expenses to individual products. • Establish robust KPIs and operations to achieve unit economics goals • Partner with Engineering to define north star efficiency KPIs across core platform services and storage/compute layers. • Build the infrastructure efficiency roadmap alongside Engineering and translate technical optimizations into committed operating and gross margin targets. • Drive tight operational rhythms and reporting so product and engineering leaders have clear visibility to execute against their unit economic goals. • Scale cloud finance operations and systems • Bring systems-level thinking to cloud FP&A processes, building automated workflows that scale as our multi-cloud footprint and commitment structures become increasingly dynamic. • Ensure cloud cost allocation frameworks, monthly accruals, and reporting pipelines remain rigorous, auditable, and scalable as the business compounds. • Dogfood the Databricks platform to analyze massive cloud billing and telemetry datasets, delivering self-serve cost visibility to engineering partners. What we look for • Required • 8+ years of experience in Strategic/Product Finance, Cloud FP&A, or FinOps, complemented by foundational training in Investment Banking, Consulting, or high-growth technology. • Deep fluency in consumption-based business models, public cloud infrastructure costs (AWS, Azure, GCP), unit cost analysis, and gross margin drivers. • A proven track record of partnering directly with Engineering and Cloud Infrastructure Operations teams to drive cost efficiency and forecasting accuracy. • Systems-level thinker with a demonstrated ability to build scalable financial processes, driver-based models, and auditable allocation frameworks in fast-moving environments. • Preferred • Functional expertise in hyperscaler cloud pricing, enterprise commitment structures, and infrastructure deal economics. • Experience attributing shared platform or foundational infrastructure costs across a multi-product SaaS or PaaS portfolio. • Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks) to self-serve insights from massive cloud billing and usage datasets. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $216,100 — $297,100 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $194,500 — $267,400 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(GAQ427R231) About the role As Databricks scales at unprecedented velocity, how we invest our R&D capital—both human and compute—is critical to our scale. We are looking for a Product Finance leader to own R&D capital allocation and engineering operations. You will be a key finance partner to our senior Engineering and Product Operations leaders, with a mandate that spans product-level R&D ROI, global workforce and location strategy, and the rapidly evolving economics of AI-enabled software development. The impact you will have • Drive product-level ROI and R&D capital allocation • Establish frameworks to measure product-level ROI across a fast-moving platform like Databricks where engineering velocity is extremely high. • Operationalize ROI metrics so they directly inform product investment and resource allocation decisions. • Define engineering economics in the AI era • Partner with Engineering to model how AI developer tooling and internal token spend scale alongside headcount, quantifying the tradeoff between human capital and compute capital. • Measure the end-to-end cost of AI-enabled engineering, including the second-order impact on cloud spend, and partner with Engineering to optimize investments. • Shape global workforce and location strategy • Drive multi-year headcount planning across global engineering hubs, balancing cost per hire, talent density, and university recruiting pipelines. • Partner closely with Workplace and Facilities leadership to synchronize R&D hiring roadmaps with global real estate strategy and multi-year CapEx planning. • Scale R&D finance operations and build the team • Bring systems-level thinking to R&D finance operations, building scalable, automated workflows across headcount management, PO planning, monthly accruals, and SOX audit compliance. • Dogfood the Databricks platform to modernize internal finance tooling and deliver self-serve operational visibility to engineering leaders. • Build, mentor, and scale a high-performing team of finance professionals capable of operating seamlessly across strategic capital allocation and rigorous operational execution. What we look for • Required • 10+ years of experience in Strategic/Product Finance or R&D FP&A. • Deep experience managing large-scale R&D OpEx, headcount capacity modeling, and multi-site workforce planning within a high-growth enterprise software or cloud company. • A proven track record of partnering directly with senior Engineering, Product Operations, and People/Workplace executives to drive capital allocation and operational rigor. • Systems-level thinker with a demonstrated ability to re-engineer financial processes from scratch—spanning headcount tracking, procurement, close, and SOX controls—to support rapid scale. • Experience building, leading, and developing high-output finance teams in fast-moving environments. • Preferred • Direct experience analyzing cloud dev/test infrastructure and AI tooling/token costs. • Experience attributing shared engineering and platform R&D costs across a complex, multi-product portfolio to establish product-level profitability. • Hands-on proficiency with SQL, Python, or notebook environments (especially Databricks) to automate reporting and self-serve insights from large operational datasets. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $223,800 — $307,650 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $201,400 — $276,850 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(GAQ427R229) About the role AI is the defining platform shift of our generation, and Databricks is right at the center of it. We are looking for a Product Finance leader to scale the fastest growing part of our business with both speed and financial rigor. You will be the primary finance partner to our AI Engineering and Product leaders, with a mandate that spans the full arc of the AI business: planning GPU supply and demand across clouds, shaping how we price AI products, and building the unit economics that will define the margins of this category for years to come. The impact you will have • Plan the GPU supply and demand that powers the business • Establish a trusted, unified GPU demand plan across production inference, internal research, and new product bets so we invest ahead of growth without over-provisioning. • Drive capacity commitment and procurement strategies across major hyperscalers and emerging neoclouds, optimizing the mix of reserved, spot, and on-demand compute. • Own AI product economics and partner on pricing • Lead revenue and margin analytics across the AI product portfolio, turning raw consumption telemetry into a clear read on customer adoption, retention, and product profitability. • Model the end-to-end unit economics of AI products before they ship, partnering with Product and Pricing to design consumption structures that drive adoption while protecting gross margin targets. • Establish robust KPIs and operations to drive best-in-class execution • Partner with Engineering to define north star efficiency KPIs (e.g., GPU utilization, cost per token/query, serverless efficiency) and translate them into committed engineering roadmaps. • Run tight financial operations, from auditable multi-cloud cost allocation to automated reporting, giving product and engineering leaders real-time visibility into their economic goals. • Bring finance rigor to the biggest investment decisions • Design ROI and capital allocation frameworks to evaluate asymmetric bets—including frontier model research, internal compute clusters, and strategic partnerships. • Build, mentor, and scale a high-performing team of product finance analysts capable of operating at the intersection of deep technical infrastructure and commercial strategy **What we look for** Required • 10+ years of experience in Strategic/Product Finance, complemented by foundational training in Investment Banking, Private Equity, or Management Consulting. • Deep fluency in consumption-based business models, public cloud infrastructure costs, unit cost analysis, and gross margin optimization. • A proven track record of partnering directly with senior Engineering and Product executives to influence technical roadmaps and commercial pricing. • Demonstrated ability to build scalable financial systems from scratch and distill massive, complex telemetry data into models and recommendations leaders act on. • Experience building, leading, and developing high-output finance teams in fast-moving environments. Preferred • Direct experience operating in the AI and GPU economy, including familiarity with training/inference workloads, hyperscaler commitment structures, and neocloud economics. • Ownership of a multi-product P&L within a high-growth enterprise SaaS, PaaS, or data infrastructure company. • Hands-on proficiency with SQL, Python, or notebook environments to self-serve insights from raw usage data. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $223,800 — $307,650 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $201,400 — $276,850 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ ID: FEQ227R147 Location: Germany (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain **About the Role** We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. **What You'll Do** • Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. • Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. • Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. • Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount. • Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field. • Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation. • Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings. **What We're Looking For** • Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers. • Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety. • Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). • Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. • Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP. • Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly. • A track record of technical leadership and mentorship — someone who elevates the people around them. • Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal. • Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed. • Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus. **Nice to Have** • Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space. • Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical. • Experience partnering with Product and Engineering teams to influence roadmap. **Why This Role** You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have — companies building the future in real time — with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ ID: FEQ227R147 Location: France (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain **About the Role** We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. **What You'll Do** • Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. • Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. • Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. • Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount. • Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field. • Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation. • Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings. **What We're Looking For** • Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers. • Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety. • Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). • Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. • Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP. • Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly. • A track record of technical leadership and mentorship — someone who elevates the people around them. • Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal. • Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed. • Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus. **Nice to Have** • Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space. • Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical. • Experience partnering with Product and Engineering teams to influence roadmap. **Why This Role** You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have — companies building the future in real time — with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ ID: FEQ227R147 Location: Sweden (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain **About the Role** We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. **What You'll Do** • Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. • Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. • Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. • Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount. • Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field. • Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation. • Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings. **What We're Looking For** • Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers. • Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety. • Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). • Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. • Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP. • Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly. • A track record of technical leadership and mentorship — someone who elevates the people around them. • Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal. • Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed. • Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus. **Nice to Have** • Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space. • Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical. • Experience partnering with Product and Engineering teams to influence roadmap. **Why This Role** You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have — companies building the future in real time — with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

REQ ID: FEQ227R147 Location: Netherlands (Remote/Hybrid) - will require travel across Europe Recruiter: Dina Hussain **About the Role** We are looking for a Lead Solution Architect focused on Generative AI to support our EMEA Emerging Digital Natives and Startups business unit — one of the fastest-moving, most technically ambitious patches in EMEA. Our customers are digital-native and cloud-native companies who build on the frontier: they adopt GenAI early, scale fast, and expect their technical partners to be as sharp as their own engineers. You will be the go-to expert our Account Teams and customers turn to when a GenAI or LLM use case needs to move from an ambitious idea to a production-grade reality across our high-growth accounts. This is a highly technical, customer-facing individual contributor role for someone who lives at the frontier of applied GenAI. You will shape architectures, prove out the hard problems, challenge and influence customer roadmaps, and raise the GenAI capability of the entire EMEA Emerging DNB field organisation. **What You'll Do** • Serve as the deep technical authority on Generative AI, LLMs, and applied machine learning for the EMEA Emerging DNB business unit, supporting the most strategic and complex customer engagements across our digital-native and born-in-the-cloud accounts. • Partner with our EMEA Emerging DNB Solutions Architects, Solutions Engineers, and Account teams to scope, design, and de-risk GenAI use cases — from retrieval-augmented generation and agentic systems to fine-tuning and evaluation. • Build hands-on proofs of concept and reference implementations that operationalise large-scale LLM and deep learning workloads on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog governance), tuned to the fast iteration cycles Emerging DNB customers expect. • Lead fine-tuning and model-customisation engagements on open LLMs (e.g., Llama-family models), including judge-based and label-efficient evaluation approaches for domains where quality and safety are paramount. • Act as a bridge to Product and Engineering — channel field and customer feedback into the roadmap and represent the roadmap back to the field. • Enable and mentor the broader EMEA Emerging DNB Field Engineering team through workshops, reference architectures, and internal enablement, multiplying GenAI expertise across our ~70-person SA/SE organisation. • Represent Databricks externally as a technical thought leader — conference talks (e.g., Data + AI Summit), blogs, and customer executive briefings. **What We're Looking For** • Strong understanding of the LLM landscape, including leading proprietary and open-source models and providers, with the ability to differentiate their capabilities, trade-offs, and suitability for different use cases, and to articulate a clear, informed point of view (POV) to customers. • Deep expertise in the modern GenAI stack: LLM application patterns (RAG, agents, tool use), fine-tuning and model customization, prompt and evaluation engineering, and LLM guardrails/safety. • Strong foundations in machine learning and deep learning, including distributed training, GPU workloads, and the full MLOps lifecycle (tracking, registry, serving, monitoring). • Proficiency in Python and the ML ecosystem (PyTorch/Transformers, MLflow, Spark), and comfort building production-quality reference implementations. • Experience with the Databricks platform — or the ability to ramp on it quickly — including Mosaic AI, Model Serving, Vector Search, and Unity Catalog. Cloud experience across AWS, Azure, or GCP. • Excellent communication and consultative skills: able to earn the trust of both hands-on engineers and senior technical executives, and to explain complex GenAI trade-offs clearly. • A track record of technical leadership and mentorship — someone who elevates the people around them. • Comfort operating at the pace of digital-native and high-growth customers, where speed, iteration, and technical credibility win the deal. • Based in the United Kingdom and able to work across EMEA time zones, with willingness to travel to customer sites within the region as needed. • Background helping digital-native customers build data and ML solutions (e.g., prior experience at a data/ML platform or consulting vendor) is a strong plus. **Nice to Have** • Public technical presence: conference speaking, published talks, blogs, or open-source contributions in the ML/GenAI space. • Domain depth in a regulated or high-stakes industry (healthcare/life sciences, financial services) where model quality, evaluation, and safety are critical. • Experience partnering with Product and Engineering teams to influence roadmap. **Why This Role** You will work on the hardest and most exciting GenAI problems our EMEA Emerging DNB customers have — companies building the future in real time — with the platform and the people to actually solve them, not just advise. You'll shape how one of EMEA's highest-growth business units adopts Generative AI, influence the direction of the product, and build a public profile as a recognised expert in the field. This is the role for a builder and a teacher, who wants their expertise to have outsized impact. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R6 At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: • Form successful relationships with clients throughout France, providing technical and business value to Databricks customers in collaboration with Account Executives. • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. • Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. • Develop customer relationships and build internal partnerships with account executives and teams. • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. Mandatory requirements: • The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule). • Flexibility to travel (up to 30% as required for customer meetings, events and trainings). • Business proficiency in both French and English required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R5 Solutions Architect Greenfield Enterprise France The role is based in Paris or within commuting distance of the office. The Role As a Solutions Architect, you will lead the technical strategy for your Greenfield (New Logo) customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Fluency in French and English • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R31 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible; they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in Chicago, IL. Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: • Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. • Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks data and AI platform. • Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. • Use AI tools to increase your productivity and drive innovation. • Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role. • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience • Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster • Hands-on experience with Python, Java, or Scala, and proficiency in SQL • Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus • Aptitude to interact with customers confidently and professionally • Can meet expectations for technical training and role-specific outcomes within 6 months of hire About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R945 As an Emerging Enterprise and Digital Natives Account Executive at Databricks, you come with relevant experience selling to Emerging Enterprise ($250 - $1B revenue) and Digital Native accounts across the DACH region. As a successful candidate you are a self-starter who understands the consumption sales process. You know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. You will be offered huge potential for career progression with the pace of the team's growth. The impact you will have: • Assess your territory and develop a successful execution strategy • Drive quarter-on-quarter consumption growth in existing accounts • Exceed activity and quarterly revenue targets • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce • Identify new use case opportunities and showcase value to existing customers • Promote the value of the Databricks' Data Intelligence Platform • Ensure 100% satisfaction among all customers • Connect to your accounts ecosystem (stakeholders, influencers, partners, VC, PE, cloud providers etc) • Drive both technical and business discussions, adapting the narrative to the audience (C level, middle management, practitioner…) and persona (IT, Data & AI, Finance, Operations, Marketing, Sales…) What we look for: • Strong closing experience selling SaaS / Cloud or Big Data/AI solutions to customers across the DACH region (Digital Native experience is highly desirable) • Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale) • Ability to simply articulate intricate cloud & big data / AI technologies and their business value for the customer • Experience exceeding sales targets/quotas • Master’s Degree or relevant work experience • Fluency in English and German is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Senior Engagement Manager is a trusted advisor within the Forward Deployed Engineering (FDE) organisation. You are responsible for the end to end GTM of the FDE and Training organisations, working closely with account teams and customers. You will independently scope complex engagements with multiple workstreams spanning data and AI which will deliver outcomes for our largest customers. The impact you will have: • Strategic Leadership: Independently scope and lead large, complex initiatives with multiple workstreams and diverse stakeholders. • Advanced Selling: Drive the full-cycle sales of standard and customized Professional Services & Training (PS&T) programs, pulling in best practices for Centers of Excellence (CoEs) and migrations. • Account Growth: Identify and pursue upsell and cross-sell opportunities within existing customers to meet or exceed revenue targets. • Cross-Functional Alignment: Partner with Sales and GTM teams to prioritize regional PS&T targets aligned with growth goals. • Customer Sentiment: Proactively monitor customer sentiment and take corrective actions or escalate to ensure high satisfaction. What we look for: • 7-10 years running a Professional Services line of business. • 10+ years in senior customer-facing roles with a mix of influencing and execution. • Deep understanding of PS&T offerings, including Partner funding programs (Microsoft, AWS, Google). • Strong knowledge of Databricks architecture, competitors, and migration benefits. • Proven track record of managing large-scale program plans and service delivery. • Ability to travel up to 25-50% as required. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a Technical Program Manager (TPM) in our Forward Deployed Engineering division, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the FDE practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals. The Impact You Will Have • Portfolio Success: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives. • Operational Excellence: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit. • Strategic Alignment: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements. • Leadership Hub: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum. • Mentorship: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact. What We Look For • Experience: Extensive experience managing complex technical programs. Experience with Product Management is a plus. • Technical Bar: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire. • AI Proficiency: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance. • Process Innovation: A track record of enhancing delivery standards and implementing changes that improve operational performance. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ128R175 As a Senior Engagement Manager at Databricks, you will play a critical role in leading and scaling the Forward Deployed Engineering (FDE) motion across a Business Unit or region. This position is ideal for someone who has been hands-on with data and AI technologies, understands architecture and delivery deeply, and now wants to transition into a customer-facing, sales-aligned leadership role. You will act as a trusted advisor to executives and a strategic partner to account teams, combining technical credibility with commercial impact. This quota-carrying role goes beyond managing individual engagements — you will embed FDE into Databricks’ broader platform growth, ensuring our customers achieve measurable business value from their investments. **The impact you will have** • Lead the Forward Deployed Engineering motion in your region, aligning closely with Sales, Delivery, and Field Engineering leadership. • Drive adoption and expansion by positioning and selling standard and customized Forward Deployed Engineering and training offerings from discovery through closing. • Integrate services into platform deals, ensuring customers achieve measurable business outcomes. • Act as the technical-commercial bridge: leverage your technical background to engage in architecture discussions, scope solutions, and guide customers toward successful implementations. • Shape account strategies by aligning service offerings with client goals, transformation roadmaps, and long-term success. • Collaborate with partners (GSIs, RSIs, cloud providers) to co-sell, develop joint account strategies, and deliver integrated services. • Bring industry expertise to conversations with customers, demonstrating the art of the possible, creating demand, and building credibility as a trusted advisor. • Demonstrate technical depth on Databricks and data/AI platforms to scope engagements, support solutioning, and lead technical conversations. • Coach and mentor junior Engagement Managers, supporting peer development and best practice adoption. **What we look for** • Strong background in customer-facing roles, including consulting, solutioning, and executive engagement, with the ability to engage in architecture-level discussions and translate technical designs into business outcomes. • Deep industry expertise with the ability to “speak the language” of customers and demonstrate relevant use cases. • Extensive experience in Professional Services sales and delivery leadership, ideally in the Data & AI domain. • Solid technical knowledge of data and AI platforms (preferably Databricks) with the ability to scope and solution services engagements. • Strong program management and delivery oversight skills, with the ability to align cross-functional teams to customer outcomes. • Excellent communication, influencing, and negotiation skills across executives, technical teams, partners, and internal stakeholders. • Travel to customers 20% of the time. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R7 As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ427R219 We are seeking a dynamic and experienced Manager to lead a team of high-performing Executive Assistants in Costa Rica & Serbia. The successful candidate will play a pivotal role in developing each EA and building processes that enable them to effectively support executives across the company's G&A functions (Finance, Legal, People, IT, Operations & Security). This position requires an operational leader with excellent communication skills and previous experience managing a team, preferably of 10+ Executive Assistants. **Impact you will have:** • Leadership and Team Development: Lead, mentor, and develop a team of 10-15 Executive Assistants aligned to G&A Executives (Executives in Finance, Legal, People, IT, Operations & Security) to ensure high performance and professional growth, while providing direct executive support to 1 Executives. • Stakeholder Engagement: Serve as a liaison between executives, EAs, and other departments to facilitate effective communication and collaboration. • Operational Management: Oversee the daily operations of the G&A EA team, ensuring efficient management of executives' schedules, meetings, and communications. • Strategic Planning and Execution: Partner with the EA Manager and Corp Ops leadership to align the EA team's objectives with the company's strategic goals, while establishing the right framework to operate as a Center of Excellence (CoE). • Cross-Functional Team Building: Develop a structure for the team to function as a cross-functional unit, supporting multiple departments across the organization. **What we look for:** • Minimum of 5+ years of experience managing a team of Executive Assistants or similar roles, or proven track record of strong leadership in a fast-paced environment • Previous Executive Assistant experience (minimum 5 years), Bachelor's degree in Business Administration, Marketing, IT, HR, or a related field • Proven experience leading cross-functional teams or projects within a corporate environment • Proven ability to engage with senior executives to build trust, solicit actionable feedback, and translate insights into team development and operational improvements • Strong leadership skills with the ability to inspire and motivate a diverse team • Ability to work independently and manage multiple priorities in a fast-paced environment • Exceptional attention to detail and a process-oriented mindset • Demonstrated ability to build and maintain professional relationships at all levels • Flexibility to adjust working hours to accommodate different time zones (primarily U.S.) • Cultural sensitivity and ability to thrive in a diverse, global environment • Ability to maintain confidentiality and handle sensitive information with discretion • Fluent in English (C1 level or above) and Spanish, with excellent verbal and written communication skills About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R937 This role requires a presence in our Tyson’s Corner, VA, office, multiple days per week, on a hybrid schedule Databricks is looking for an experienced Outbound Sales Development Manager. You will be an important contributor to our sales leadership team, leading recruiting, pipeline generation strategy and constructive coaching for our Business Development Representatives (BDRs). The ideal candidate will have experience driving pipeline generation, leading sales development teams and working cross-functionally with sales and marketing teams. The impact you will have: • Manage, develop, and hire a team of outbound Business Development Representatives • Work with Sales, Demand Gen, and Marketing leadership to ensure the success of campaigns, while providing constructive input to develop new campaigns • Develop relationships with Sales segments to ensure positive working relationships and maximize the effectiveness of sales development • Help create a place where people love coming to work by maintaining a high level of enthusiasm • Enable Business Development Representatives to translate complex technical concepts into business value • Standardize and optimize outbound workflows, ensuring the team operates with high efficiency and maintains a rigorous "cadence of accountability" through CRM hygiene and process discipline • Proactively monitor the health of the outbound funnel. You won't just report on the numbers; you will use data to diagnose bottlenecks in the lead-to-opportunity lifecycle and architect creative solutions to fix them • Contribute to the "playbook" by identifying repeatable patterns of success, allowing the sales development organization to scale predictably as Databricks continues its rapid growth What we look for: • 2+ years of overall sales experience (e.g. AE), including at least 1-2 years managing an outbound sales development team in a SaaS environment • Experience managing outbound pipeline generation motion specifically within the Public Sector vertical • A passion for coaching and developing talent • Highly data-driven: constant optimization of activities and outputs • Expertise with Salesforce and Outreach • Demonstrated success using AI to improve work streams and operating efficiency Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $120,900 — $166,275 USD Zone 2 Pay Range $108,900 — $149,700 USD Zone 3 Pay Range $102,800 — $141,350 USD Zone 4 Pay Range $96,800 — $133,025 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ327R248 **About the Role** Databricks is looking for an experienced commercial attorney to join our Commercial Legal team, with a primary focus on supporting our Healthcare and Life Sciences (HLS) sales teams. Our HLS customers - health systems, pharmaceutical and biotechnology companies, medical device and diagnostics companies, payers and health services companies, healthcare technology and data companies, and clinical research organizations - bring some of the most complex and interesting legal work on the commercial team. The customers on the other side of the table are sophisticated and heavily regulated, with specific compliance, privacy, and security requirements that need to be understood and addressed. You'll work side-by-side with Sales to lead negotiations, shape deal strategy, and address the issues that matter most to regulated customers - from HIPAA and data privacy to AI terms and security requirements. The role requires strong commercial judgment, the ability to build trust with sales teams and customers alike, and a practical approach to risk. You'll also have a front-row seat to how AI is transforming legal work. Our team is actively building and using AI-powered tools for contract review, research, drafting, and knowledge management, and you'll be part of shaping what that looks like. This position reports to the Senior Director & Associate General Counsel, Commercial. **The impact you will have:** • Lead complex commercial transactions from first engagement through signature, including drafting and negotiating SaaS MSAs and related security and privacy terms, as well as order forms, statements of work, and related transaction documents • Negotiate healthcare-specific agreements and provisions, including business associate agreements, healthcare data privacy and security terms, and regulatory compliance requirements • Partner closely with Sales, Deal Desk, Finance, Security, Privacy, Product, and other stakeholders to resolve issues that affect deal execution • Advise on issues that arise in enterprise technology transactions with regulated customers, including data privacy, information security, artificial intelligence, intellectual property, open source software, and healthcare-specific regulatory requirements • Help improve templates, playbooks, fallback positions, guidance, and contracting processes - including building institutional knowledge on HLS-specific deal patterns • Leverage AI tools to work more efficiently and contribute to the team's adoption of AI-assisted legal workflows • Provide concise, practical legal advice that balances legal risk with commercial objectives **What we look for:** • 7+ years of relevant technology transactions experience at a law firm and/or in-house legal department • Significant experience drafting, negotiating, and closing complex sell-side software, SaaS, and cloud transactions with enterprise customers • Experience supporting customers in healthcare, life sciences, or other heavily regulated industries, with a working knowledge of HIPAA and experience negotiating or advising on business associate agreements and healthcare data privacy requirements • Strong familiarity with issues that commonly arise in commercial technology deals, including data privacy, information security, intellectual property, and open source software • Experience advising on AI-related contract terms, data use provisions, and emerging technology issues in enterprise transactions, and a demonstrated interest in using AI tools to improve the efficiency and quality of legal work • Demonstrated ability to independently manage sophisticated negotiations, exercise sound judgment, and translate legal and business risk into practical advice • Strong communication and prioritization skills, and the ability to manage multiple matters effectively • Experience supporting cloud, infrastructure, platform, or other technology companies is preferred • Juris Doctor and active bar membership in good standing in at least one U.S. jurisdiction Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $219,800 — $302,300 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $197,800 — $272,050 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 3 Pay Range $186,900 — $256,950 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R10 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As an Enterprise Account Executive at Databricks, you are a seasoned sales professional experienced in selling into Federal Health accounts within the Federal Civilian space. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Sr. Director of Enterprise Sales, you will map to a dedicated enterprise client under the Federal Health umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: • Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners • Identify and close quick, small wins while managing longer, complex sales cycles • Exceed activity, pipeline, and revenue targets • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce • Use a solution-based approach to selling and creating value for your customer • Promote Databricks' enterprise cloud data platform powered by Apache Spark™ • Ensure 100% satisfaction among your customer • Prioritize opportunities and apply appropriate resources • Build a plan for success internally at Databricks and externally with your accounts What we look for: • You have previously worked in an early-stage company, and you know how to navigate and be successful • Field sales experience within big data, Cloud, or SaaS sales • Experience managing large, complex Federal Health accounts is preferred. • Prior customer relationships with CIOs, program managers, and essential decision makers • Simply articulate intricate cloud technologies • 5+ years of experience exceeding sales quotas • Success working with and growing existing accounts • Understanding of Spark and big data preferable • Passion for cloud technologies • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R443 Solutions Engineer At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes AI and data analytics accessible to everyone in their own context. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will drive both data and business strategy for our customers, leading the front lines of Databricks growth as well. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges. Solutions engineers go further than telling them what's possible, they build working prototypes and advise customer teams on how to get to production. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it! This will be an in-office role and candidates must be based in our New York City (Midtown location). Relocation assistance will not be provided. Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates. More About Databricks YouTube The impact you will have: • Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. • Operate as an expert in AI and data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks data and AI platform. • Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. • Use AI tools to increase your productivity and drive innovation. • Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role. • Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience • Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster • Hands-on experience with Python, Java, or Scala, and proficiency in SQL • Experience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus • Aptitude to interact with customers confidently and professionally • Can meet expectations for technical training and role-specific outcomes within 6 months of hire About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(FEQ128R2) **The Role** As a Specialist Solutions Architect (SSA) – Data Engineering, you are a hands-on technical authority who guides strategic customers in designing, building, and optimizing production-grade data workloads on the Databricks Data Intelligence Platform. Partnering closely with Account Teams and Solution Architects, you translate complex big data challenges into high-performance, scalable architectures using Apache Spark™ and modern streaming frameworks. In this role, you will drive successful implementations, align technical roadmaps to accelerate platform adoption, and establish deep domain specialization; whether in real-time streaming, performance optimization, or operational data layers, while expanding your impact across Field Engineering. **The impact you will have:** • Drive Technical Wins & Scope: Lead end-to-end technical design, proof of concepts (PoCs), and workload sizing for strategic customer engagements, acting as a trusted advisor to front-line technical stakeholders to secure technical wins. • Architect Production Data Systems: Design, build, and optimize scalable, high-performance batch and streaming pipelines, operational data layers (Lakebase), and end-to-end performance load testing on Databricks. • Deploy Interactive Data Applications: Build and operationalize custom user-facing data applications using Databricks Apps, transforming data pipelines and AI models into interactive tools. • AI-Native Engineering: Leverage AI coding assistants, LLMs, and agentic workflows (e.g., Genie Code, Cursor) as a force multiplier to rapidly prototype, debug, and deliver architectural assets with full ownership of outputs. • Enablement & Domain Leadership: Mentor peers, contribute reusable architecture assets, and deliver technical workshops and community presentations to scale expertise across accounts and field teams. **What we look for:** • Deep Data Engineering Expertise: 5+ years in data or software engineering with hands-on proficiency in distributed processing (Apache Spark™, Delta Lake, SDP) and real-time streaming technologies (Spark Streaming, Kafka, CDC). • AI-First Builder Mindset: Demonstrated daily reliance on AI coding tools and LLMs to accelerate pipeline development, troubleshooting, and asset generation. • Production Programming & Foundations: Strong production coding skills in Python, SQL, and Scala or Java, with a solid grasp of data modeling and system design fundamentals. • Customer Advisory & Delivery: 5+ years in pre-sales or post-sales technical consulting, managing customer engagements and navigating multi-stakeholder technical discussions. • Operational & HTAP Architectures: Practical experience with operational/transactional data layers (Postgres/OLTP), low-latency serving, reverse ETL, and hybrid transactional/analytical processing. **Nice to haves:** • Cloud & Migration Mastery: Hands-on experience with major cloud platforms (AWS, Azure, GCP) and legacy data lake modernisation (e.g., Hadoop migration and cost optimisation). • Application Experience: Background in constructing specialised data applications (e.g., risk modelling, fraud detection, customer lifetime value) across industries as a data expert. • Ecosystem & Culture Contribution: Active track record of technical community engagement, public speaking, open-source contributions, or peer mentoring and interviewing. • Flexibility & Travel: Ability to travel up to 30% for strategic customer engagements and internal alignment. **Notes on the role:** • This will be an office-based contract (Amsterdam), with a hybrid schedule, requiring up to 30% travel when needed for customer visits, events & trainings. • An initial 12-month fixed-term contract is to be offered, with the expectation of extending/converting to FTE upon successful completion of the probation period. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R942 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the FSI sector in France. The impact you will have: • You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the FSI segment. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals • You will motivate a diverse team of big data and AI professionals to implement your business plan • You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform • You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement • You will build exceptional value with all engagements to guide successful negotiations to close What we look for: • Experience in direct sales of enterprise software platforms to large enterprises • Ownership of executive level relationships in your clients • Extensive experience of working with large complex regulated organisations • Knowledge of the Data & AI space with technology sales experience • Longevity with previous employers • Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams • Methods for co-developing business cases and gaining support from C-level Executives • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message) • Experience developing partnerships with "champions" and client teams to support execution of your territory plan • Experience developing a clear partner strategy and implement it to achieve success • Understanding of consumption-based, land and expand sales models advantageous • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients • Fluent French and business English About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Location: Ontario, CAN REQ ID - FEQ427R731 Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. The impact you will have: • You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the account, in close understanding of the strategy. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You provide structured mentorship for other team members. • Gain the respect of your peers based on your experience, insight, and contributions. What we look for: • Proficiency at establishing virtual teams, and leading them to ultimate success within the account. • Experience working very large (> $1m ARR), global accounts. • Form relationships with executives and influencers. • Present a convincing point-of-view to important decision-makers that leads them down a path of success. • Technical in big data, data science and cloud. • An ability in data-driven business transformation, and driving change with data. • Production programming experience in Python, R, Scala or Java • Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $175,800 — $241,800 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Location: Toronto, ON REQ ID - FEQ128R19 We are looking for pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Solutions Architect (SA) defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the greater region. The impact you will have: • You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the account, in close understanding of the strategy. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You work with your sales team and technical peers to drive business outcomes for our clients What we look for: • 7+ years of experience supporting Data and AI solutions within the Financial Services and Insurance domains. • Proficiency at establishing virtual teams, and leading them to ultimate success within the account. • Experience working very large (> $1m ARR), global accounts. • Form relationships with executives and influencers. • Present a convincing point-of-view to important decision-makers that leads them down a path of success. • Technical in big data, data science and cloud (Azure & AWS). • An ability in data-driven business transformation, and driving change with data. • Production programming experience in Python, R, Scala or Java • Nice to have: Databricks, Snowflake, AWS or Azure Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $175,800 — $241,800 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ427R630 This role is in-person and Bay-Area-based by design, so you can be in the room with founders and investors. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA, to a global organization with over 11,000 employees. Thousands of organizations, from small startups to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world and one of the top 5 most valuable private companies. **About the Role:** Databricks works with founders from the earliest days of their companies, when it is still just a team, an idea, and a lot of unproven AI. The Technical Business Development Manager for the Startup and VC Ecosystem owns the operational engine and the relationships behind that work, and the role is technical. You will run our startup program day to day, sit across from early-stage founders and talk seriously about their AI systems, produce a steady cadence of founder and investor events in San Francisco, and work hand in hand with the events teams at the venture firms whose founders we most want to reach. You will work closely with Databricks Ventures. This role is built to grow: you will start close to the program, the founders, and the events, and over time, take on more of the relationships and the strategy for how Databricks engages the startup ecosystem end-to-end. This role asks for four things that rarely sit in one person: the discipline of an operator who tracks every applicant and commitment without dropping one, the hands of a builder who is genuinely fluent in AI and can talk to a founder as a peer, the ease of someone who earns the trust of founders and the partners at the best venture firms in the country, and the judgment to turn all of that into strategy for how Databricks wins the next generation of companies. Most strong candidates have two of these, and some have three. We are hiring for trajectory: you should already be strong in the operating and the building, and hungry to grow into relationships and strategy. This is one of the rare seats where operating, building, and relationship-building are the same job. **The impact you will have: ** • Run the startup program : Own the day-to-day operations of the program, including applicant intake, evaluation, scoring, routing, and offer decisions, with precise tracking of every applicant, commitment, and outcome. Run it on AI automation built with Databricks AI tooling such as Omnigent, Unity Gateway, Agent Bricks, etc. Strong, hands-on proficiency with these tools is a requirement, not just knowing your way around them. • Bring programmatic discipline : Own the trackers, the automation, the quality bar, and the follow-through so that nothing falls through the cracks. • Be technical with founders : Hold real technical conversations with early-stage founders about their models, agents, data, and automation, and where Databricks and Neon fit. Earn their trust by being credible on the technology, not by pitching. • Build and prototype : Build the automation and internal tooling that runs the program, and stay hands-on with the same AI tools founders use, so you can assess their technical ideas from a place of experience. This is developer relations at its most technical: close to the code and close to the builders. • Assess and translate : Assess each founder's technical capability and the strength of their idea, and carry what you learn back to Product and to Databricks Ventures. • Run founder and investor events : Design and run a regular calendar of founder and investor gatherings in San Francisco, including dinners, workshops, office hours, and demo-day tie-ins. Partner with the events and platform teams at leading venture firms to co-produce these gatherings, and build durable relationships with those teams that deepen over time. • Represent Databricks in the ecosystem : Show up as a founder-first, technically credible presence at founder and investor events, and grow into being one of the faces of Databricks across the venture community. • Grow into ownership : Work alongside Databricks Ventures on how we engage founders across the full arc of their journey, from a first look at their technology and ideas to whatever they build next, and grow into broader ownership of the startup function as you build trust and results. **What we look for: ** This is a rare combination, and we know it. We are hiring for trajectory as much as for a finished resume: the strongest candidates are already strong on the first three and eager to grow into the rest. • Genuinely technical with AI. You build. You can prototype an automation, reason about an agent architecture, and get into the details of a founder's stack without hand-waving. • A programmatic operator with an obsessive eye for detail. You run complex, multi-track programs without dropping a thread. • The developer-relations instinct. You earn credibility with builders by being one, and you can explain and teach hard technical ideas clearly. • Comfortable around early-stage founders and investors, and ready to build relationships with top venture firms, starting with their events teams and growing toward their partners. • Experience helping design and run events that people actually want to attend. • Comfort switching between hands-on technical work, operational execution, and strategic thinking in the same day. • Based in San Francisco. This role requires regular in-person time with founders and investors in the Bay Area. • Empathy for founders and a long view of their careers. You understand that a founder's first company is rarely their last. • Nice to have: a background as a founder, an early engineer, or a forward-deployed or solutions engineer; experience in B2B SaaS, AI and data infrastructure, or developer ecosystems. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $118,900 — $163,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R800 As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strat Enterprise Account Executive - CPG vertical to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director, Enterprise you will map to a strategic customer. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: • Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners. • Drive value-based growth within the accounts • Expand the Databricks footprint into new business units and use cases. • Exceed activity, pipeline, and revenue targets. • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce. • Use a solution-based approach to selling and creating value for customers. • Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake • Enable orgs to democratize insights from their data through AI-powered business intelligence, natively integrated into the Databricks Platform. • Prioritize opportunities and leverage appropriate resources. • Build a plan for success internally at Databricks and externally with your account What we look for: • You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight • Previous field sales experience within AI/BI, big data, Cloud, SaaS, and a consumption selling motion • Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts • The ability to simplify a technical capability into a value-based benefit • 7+ years of Enterprise Sales experience exceeding quotas in larger accounts • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Req: FEQ427R624 Location: Tokyo, Japan Language Requirements: Fluent Japanese required; Business-level English preferred As a Specialist Solutions Architect (SSA) - Data Warehousing, you will guide customers in their cloud data warehousing transformation with Databricks which span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large-scale data warehousing technologies and lakehouse architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning evaluations, architecture design, and production migration planning. The impact you will have: • Provide technical leadership to guide strategic customers to successful cloud transformations on large-scale data warehousing workloads - ranging from evaluation to architecture design to production deployment • Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization • Become a technical expert in an area such as data warehousing evaluations or helping set up successful workload migrations • Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production • Provide tutorials and training to improve community adoption (including hackathons and conference presentations) • Contribute to the Databricks Community What we look for: • 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, query conversion, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW or other systems • Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics,, MPP, and OLAP • Deep Specialty Expertise in at least one of the following areas: • Experience scaling large analytical data warehouse workloads in the cloud that are performant and cost-effective • Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools • Experience migrating on-premise EDW workloads to the public cloud • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Production programming experience in SQL and Python, or Java for developing UDFs • Experience with the AWS, Azure, or GCP clouds • 2 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, Snowflake, OLAP & OLTP workloads) • 2 years customer-facing experience in a pre-sales or post-sales role • Can meet expectations for technical training and role-specific outcomes within 6 months of hire • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience • Fluent proficiency in Japanese is a must, and business-level English is preferred • Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ127R137 As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Vietnam. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems. You will report to the Director of Enterprise Sales. The impact you will have: • Present a territory plan within the first 90 days • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners • Close both new accounts and existing accounts • Identify and close quick, small wins while managing longer, complex sales cycles • Exceed activity, pipeline, and revenue targets • Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce • Use a solution-based approach to selling and creating value for customers • Promote Databricks' enterprise cloud data platform powered by Apache Spark • Ensure 100% satisfaction among all customers • Prioritize opportunities and apply appropriate resources • Build a plan for success internally at Databricks and externally with your accounts. What we look for: • Field sales experience within big data, Cloud, and SaaS sales • Prior customer relationships with CIOs, program managers, and essential decision makers • Simply articulate intricate cloud technologies • 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries • Success in closing new accounts while working on existing accounts • Understanding of Spark and big data is preferable • Proficiency in Vietnamese language is required, as this role serves clients based in Vietnam, and involves direct customer communications in native language About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ327R179 While candidates in the listed location(s) are encouraged for this role, candidates in other (US) locations will be considered. **About the Team** The Agentic Security Engineering team is a horizontal, shared services engineering team that enables every Databricks security function AI-native. We enable building the AI agents, "personas," and own the shared platform that security teams across the org (Detection & Response, Threat Intelligence, Vulnerability & Product Security, Red Team, GRC, and Continuous Monitoring) build on to operate at machine speed, safely and reliably. We leverage AI to transform how security is done. **The Role** As a Senior Staff Security Software Engineer on the Agentic Security Engineering team, you will be a senior technical authority and architect for Databricks’ shared Security AI platform. You will define the platform architecture, technical standards, and multi-year engineering direction that allow security teams to build, deploy, and operate governed AI personas safely at scale. Your work will span secure agent identity, isolation and sandboxing, policy enforcement, auditability, observability, evaluation, orchestration, and reliable integration with Databricks and security infrastructure. You will operate across organizational boundaries, aligning engineering and security leaders on platform architecture, driving adoption of common patterns, and resolving complex technical problems that affect multiple security functions. You will influence the quality, safety, reliability, and velocity of the broader Security AI ecosystem without owning the domain logic or business outcomes of every individual persona. **The Impact You Will Have** Shared Security AI Platform Architecture • Define and evolve the architecture for the shared Security AI platform and its paved road for governed agentic workflows. • Establish reusable patterns for agent identity, least-privilege access, sandboxing, egress control, secret isolation, policy enforcement, auditability, and rollback. • Set engineering standards for reliability, observability, evaluation, incident response, cost instrumentation, and safe production deployment. • Make high-leverage build, buy, and adopt decisions that keep the platform focused on security-specific capabilities while using Databricks platform primitives wherever they meet the need. • Design the platform to support secure multi-agent workflows, tool registries, policy-aware orchestration, and agent-to-agent collaboration. Reliable and Safe Agentic Systems at Scale • Lead the design and development of production-grade platform capabilities that enable security personas to operate reliably across a growing AI and security surface. • Define how the platform measures successful runs, latency, failure rates, rollback readiness, safety, governance coverage, trust, autonomy, and business value. • Establish qualification and maturity mechanisms that determine what a security persona may do, what controls it requires, and how it earns additional autonomy. • Drive technical solutions for high-risk workflows, including offensive security personas, untrusted inputs, sensitive data, production access, and automated tool execution. • Improve the velocity of safe AI development without compromising security, governance, or operational reliability. Cross-Organizational Technical Leadership • Serve as a technical authority for the shared Security AI platform across Security Operations, Product Security, Governance and Risk, Compliance and Assurance, Enterprise Security, and other partner functions. • Align engineering and security leaders on platform direction, architectural tradeoffs, adoption priorities, and standards for safe agentic systems. • Partner with AI Champions and domain teams to turn recurring cross-functional needs into reusable platform capabilities. • Represent the platform in architecture reviews and technical decisions involving agent identity, isolation, policy, observability, evaluation, orchestration, and secure integration. • Drive adoption of common platform patterns and retire duplicated or inconsistent implementations across security teams. Mentorship and Team Capability • Mentor engineers on distributed systems, platform architecture, AI security engineering, agentic threat modeling, and technical leadership. • Lead high-rigor design reviews and raise the bar for reliability, operability, security, and maintainability. • Help establish a culture of measurable outcomes, disciplined evaluation, safe experimentation, and continuous improvement. • Influence technical direction beyond the immediate team through clear written proposals, architecture reviews, and cross-functional execution. **What We Look For** • 10+ years of progressive experience in software engineering, security platform architecture, or systems security, with a proven track record of operating at an L7/Senior Staff level at a major cloud, platform, or high-growth tech company. • Production Systems Engineering: Exceptional fluency in Python and modern cloud-native systems architecture (Kubernetes, distributed streaming/storage, high-throughput microservices) with experience delivering fault-tolerant, low-latency security infrastructure. • Multi-Org Architectural Execution: Demonstrated ability to align multiple VP/Engineering Director-level organizations on complex technical strategies and successfully ship multi-quarter architectural transformations. • Deep practical expertise in AI/ML security, agentic system trust boundaries, prompt injection and tool-use risks, adversarial testing, identity and authorization, data protection, and secure deployment of AI-enabled systems. • Experience designing platform guardrails for sensitive workflows involving untrusted input, privileged tools, secrets, production systems, or confidential data. • Strong technical communication skills, including the ability to explain complex platform, security, and reliability tradeoffs to engineers, security leaders, and senior executives. • A track record of raising the technical bar through design reviews, mentorship, written architecture proposals, and influence beyond formal reporting lines. **Nice to Have** • Experience building secure agent platforms, developer platforms, security control planes, or internal infrastructure used by multiple teams. • Experience with MLOps, AI serving infrastructure, security data platforms, detection systems, or large-scale security automation. • Published research, patents, or recognized contributions in adversarial ML, AI safety frameworks, or open-source security platforms. • Hands-on experience building or securing large-scale LLM training pipelines, vector databases, or AI agent runtime environments. • Deep understanding of emerging global AI regulatory technical requirements (EU AI Act, NIST AI RMF) and how to encode them into engineering primitives. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $228,600 — $314,250 USD Zone 2 Pay Range $205,700 — $282,800 USD Zone 3 Pay Range $194,200 — $267,100 USD Zone 4 Pay Range $182,900 — $251,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ427R608 While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered. --- **About the Team** The Enterprise Security team at Databricks is responsible for securing the corporate environment, including the SaaS platforms, internal tools, integrations, automation workflows, and AI-adjacent systems that Databricks employees and operations depend on. We work at the intersection of enterprise architecture, security engineering, and business enablement, partnering with IT, Engineering, Legal, Privacy, and Procurement to surface risk early, set enforceable security standards, and enable the business to operate securely at scale. **The Role** As a Sr. Security Engineer on the Enterprise Security team, you turn security requirements into working protections across Databricks' enterprise environment. You implement, integrate, test, and improve security controls across enterprise applications, identity, endpoint, network, SaaS, and data-security systems. You bring strong hands-on engineering experience, developing automation and reusable capabilities that strengthen preventive controls, improve security coverage, and reduce repetitive manual work. You work closely with security domain leads, IT, and platform owners to translate approved security designs into practical implementations. Your focus is on delivering reliable controls, automating recurring security checks and workflows, and continuously validating that protections remain effective as enterprise systems evolve. **The Impact You Will Have** **Security Control Engineering & Implementation** • Implement and improve preventive security controls across enterprise systems, translating approved security requirements into tested, operational protections. • Partner with security domain leads, IT, and platform owners to implement access, configuration, endpoint, network, and data-protection guardrails. • Develop reusable technical implementations and secure configuration patterns that improve consistency and reduce recurring security gaps. **Security Automation & Integrations** • Build and maintain security automation using Python, Go, APIs, Terraform, or comparable technologies to improve control enforcement and operational efficiency. • Automate recurring configuration checks, access validation, evidence collection, and remediation workflows to reduce dependency on manual security processes. • Develop and integrate AI-assisted and agent-based security automation to streamline recurring reviews, control validation, and remediation workflows, with appropriate access controls, testing, and auditability. • Integrate security platforms and enterprise systems to streamline established review and approval workflows, surface actionable findings, and support consistent enforcement. **Continuous Control Validation & Remediation** • Develop automated testing, monitoring, and validation capabilities to confirm security controls operate as intended. • Identify control gaps, configuration drift, and ineffective enforcement; partner with system owners to implement and validate remediation. • Measure improvements in security coverage, control effectiveness, automation reliability, and reduced manual effort. **Cross-Functional Security Engineering** • Partner with Enterprise Security, IT, Engineering, and business-system owners to deliver security improvements across interconnected enterprise platforms. • Troubleshoot complex implementation challenges involving authentication, API integrations, permissions, configurations, and security tooling. • Contribute to Security by Design initiatives by translating recurring security requirements into reusable controls, automated checks, and secure defaults. **What We Look For** • 7+ years of experience in security engineering, enterprise security, infrastructure security, cloud security, or a related field. • Demonstrated hands-on experience implementing, integrating, testing, and maintaining security controls in production enterprise environments. • Strong programming and automation skills using Python, Go, or comparable languages, including API integrations, infrastructure-as-code, and version control. • Experience engineering security controls across one or more domains, such as identity, endpoint, SaaS, cloud, network, or data protection. • Strong understanding of authentication, authorization, SSO, OAuth, service identities, API security, secrets management, and least-privilege principles. • Experience developing automated security checks, configuration validation, drift detection, and remediation workflows. • Hands-on experience building or integrating AI-assisted or agent-based security automation, including appropriate access controls, testing, monitoring, and auditability. • Ability to translate approved security requirements into preventive controls, troubleshoot implementation challenges, and validate control effectiveness. • Experience applying reliable software engineering practices, including automated testing, CI/CD, error handling, and operational monitoring. • Demonstrated ability to independently deliver security engineering improvements, collaborate with Security, IT, and platform owners, and achieve measurable security outcomes. **Nice to Have** • Experience implementing security controls across multiple enterprise security domains rather than specializing in a single area. • Familiarity with enterprise security platforms and technologies such as Okta, Google Workspace, CrowdStrike, Jamf, Prisma Access, or similar solutions. • Experience with specialized policy-as-code frameworks such as Open Policy Agent (OPA), Rego, or comparable enforcement technologies. • Experience securing enterprise data and AI platforms, including Databricks or comparable technologies. • Experience working in large-scale or rapidly growing cloud and SaaS environments. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $167,800 — $230,800 USD Zone 2 Pay Range $151,000 — $207,700 USD Zone 3 Pay Range $142,600 — $196,150 USD Zone 4 Pay Range $134,200 — $184,600 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R19 Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. We are looking for a Enterprise Account Executive to join the team in the UK to maximise the phenomenal market opportunity that exists for Databricks within the Manufacturing industry. Your mission will be to grow one of our most strategic Manufacturing customers. Reporting to the Director, Sales, as a Enterprise Account Executive at Databricks you will come with an informed and compelling point of view on the Big Data, Advanced Analytics and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers. The impact you will have: • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual usage and booking goals • You will lead your team, customer and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence Platform • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well-scoped professional services, training and targeted Executive Engagement • You will develop an understanding of technical product details and roadmap to build trust with executives and business and technical champions What we look for: • Experience developing strong relationships with large Enterprises global accounts, managing virtual teams, and leading complex sales campaigns ideally in major manufacturing accounts • You will have experience working in Big Data/ Cloud • Proof of exceeding sales quotas in high-growth Enterprise software companies • You will have experience driving usage and commit-based engagement models and strategies working with professional services and training teams • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) • You will have experience co-developing business cases and gaining support from C-level Executives • You will have experience of value-based selling About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R822 As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Healthcare & Payer accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow two Payer accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strategic Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Enterprise Payer Sales, you will map to two enterprise clients under the Healthcare umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: • Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners • Grow two Enterprise Payer accounts • Identify and close quick, small wins while managing longer, complex sales cycles • Exceed activity, pipeline, and revenue targets • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce • Use a solution-based approach to selling and creating value for your customer • Promote Databricks' enterprise cloud data platform powered by Apache Spark™ • Ensure 100% satisfaction among your customer • Prioritize opportunities and apply appropriate resources • Build a plan for success internally at Databricks and externally with your accounts What we look for: • You have previously worked in an early-stage company, and you know how to navigate and be successful • Field sales experience within big data, Cloud, or SaaS sales • Experience managing large, complex Healthcare accounts is preferred. • Prior customer relationships with CIOs, program managers, and essential decision makers • Simply articulate intricate cloud technologies • 7+ years of experience exceeding sales quotas • Success working with and growing existing accounts • Understanding of Spark and big data preferable • Passion for cloud technologies • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ427R224 **About the role** We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. **What you will do** • Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. • Maintain MCP servers across our AI tools portfolio. • Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. • Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). • Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. • Instrument AI automations with logs, metrics, and feedback loops. • Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. • Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. • Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. • Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural decisions. **What we are looking for** • Proficiency in Python. • Experience with Git-based development, automated testing, and CI/CD. • Strong experience with REST APIs, OAuth2/authentication frameworks, event-driven integrations, and enterprise system integrations. • Shipped production LLM-powered applications or AI agents. • Experience with agent patterns: tool/function calling, multi-step workflows, context management, RAG, structured outputs, and plan decomposition. • Understanding of LLM failure modes: hallucination, incorrect tool use, ambiguous intent, prompt injection, excessive permissions, and non-deterministic behavior. • Experience evaluating and improving AI systems using automated evals, traces, test datasets, human feedback, or similar approaches. • Ability to translate ambiguous employee friction problems into simple, reliable technical solutions. • Strong judgment around security, privacy, least privilege, and safe automation in an enterprise environment. • Strong collaboration and communication skills. You will work cross-functionally to plan, design, and implement automation together. • Experience with automation or integration platforms (Tines, MuleSoft, Workato, etc.). • Experience with MCP (Model Context Protocol) server development. Nice to have • Experience building agents on Databricks (Agent Bricks) or with frameworks such as OpenAI Agents SDK or LangGraph/LangChain. • Experience with MLflow tracing/evaluation, vector search, and LLM observability. • Experience integrating IT platforms: Okta/Microsoft Entra ID, Google Workspace, Jira, Slack, Jamf, GitHub, Workday, or SaaS administration APIs. • Familiarity with identity lifecycle, access management, device management, and software provisioning. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform within Digital Native customers. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have • Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts • Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions • Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs • Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes • Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence • Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes • Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery • Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For • 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role • Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams • Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions • Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures • Experience designing secure, governed, scalable, and production-ready data solutions • Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation • Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders • Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization • Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership • Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority • Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have • Databricks experience or certification • Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations • Experience with AWS, Azure, or GCP and production cloud deployments • Experience creating reusable technical frameworks, demos, or enablement that scale across teams Interview Process: Recruiter Screen → Hiring Manager Screen → Design & Architecture → Live Coding → Build, Demo & Pitch → Reference Check Travel: Up to 30% as needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ327R291 Accounting Data & Technology Manager **About the Role** We are building a finance function that stays ahead of the curve — leveraging AI, automation, and modern tooling to operate at the pace Databricks demands. We are seeking an Accounting Data & Technology Manager to join our Global Accounting team and serve as the architect of the redesign of our accounting processes by building automation solutions and managing data pipelines that power our global accounting organization. You will serve as the accounting team's S/4HANA expert — the person who ensures our in-flight SAP implementation reflects best practice rather than a lift-and-shift of how we operate in NetSuite today. You will be responsible for bridging the gap between our team's subject matter experts, our technology solutions, and the business data needed to support accounting operations. In addition to SAP ownership, this role will build purposeful, reliable solutions on top of the Databricks platform and Finance Datalake to accelerate global accounting operations. During the SAP implementation, you will work alongside our system integrator to challenge design decisions, identify where SAP's native capabilities can replace manual workarounds, and ensure the accounting team is building on the right foundation from day one. Post go-live, the role transitions to continuous improvement — owning automation opportunities, streamlining close processes as SAP capabilities evolve, and ensuring Databricks is getting progressively more value out of the platform over time rather than running it as a static system. This is a rare opportunity to shape a major ERP platform from day one at one of the world's fastest-growing technology companies, with the autonomy to define how SAP works for accounting at Databricks — and how it connects to the most advanced data and AI platform in the market. **What You'll Do** **SAP Implementation Governance (Near-Term)** • Work alongside our system integrator as the accounting team's internal SAP S/4HANA subject matter expert throughout the implementation program. • Challenge design decisions and configuration choices — ensuring they reflect SAP best practice rather than replicating current-state NetSuite processes. • Identify where SAP's native capabilities (standard workflows, automated postings, embedded analytics, Fiori apps) can replace manual workarounds and custom development. • Own the accounting team's requirements, testing, and sign-off for SAP configuration across core FICO areas — general ledger, accounts payable, accounts receivable, fixed assets, and close management. • Partner with our system integrator, IT and Finance Transformation to ensure data migration, chart of accounts design, and master data governance meet accounting's needs. **Continuous Improvement & Optimization (Post Go-Live)** • Own the SAP continuous improvement roadmap for accounting — identifying automation opportunities, process simplifications, and new SAP capabilities as they are released. • Streamline close processes within SAP — driving adoption of native automation, reducing cycle time, eliminating manual steps, and improving data quality with each close cycle. • Monitor system performance and proactively address configuration issues, data quality gaps, and process bottlenecks. • Collaborate with Tax, Treasury, FP&A, Accounts Payable, Revenue, and Procurement to ensure SAP configuration supports end-to-end finance processes — not just accounting in isolation. • Ensure SOX-relevant system controls (automated, access and change management controls) within SAP are properly configured, documented, and operating effectively. **SAP × Databricks Platform Integration** • Own the design and governance of how SAP accounting data flows into the Databricks Data Intelligence Platform — ensuring clean, timely, and well-structured data for financial reporting, analytics, and AI use cases. • Partner with Data Engineering and Finance Systems to define the SAP-to-Databricks integration architecture — including extraction patterns, data models, and refresh cadences that support close timelines and ad-hoc analysis. • Identify opportunities to leverage Databricks' AI and automation capabilities on top of SAP data — such as anomaly detection on journal entries, predictive accruals, automated reconciliation matching, and natural-language reporting via Genie. • Serve as the accounting team's voice in shaping how Databricks' own platform is used for internal finance operations — ensuring the company is a best-practice reference customer for its own technology. **What We're Looking For** **Required Qualifications** • 8+ years of progressive experience in accounting systems, ERP administration, or finance technology — with deep, hands-on SAP S/4HANA FICO experience. • Demonstrated expertise in SAP S/4HANA configuration across core accounting areas: general ledger, accounts payable, accounts receivable, fixed assets, and financial close and consolidation. • Experience participating in or leading at least one full-cycle SAP S/4HANA implementation — ideally on the business/functional side rather than purely technical. • Strong understanding of accounting close processes, U.S. GAAP, and how ERP configuration decisions impact financial reporting. • Experience with SAP master data governance, chart of accounts design, and configuration documentation. • SOX experience — understanding how system controls, access management, and segregation of duties operate within SAP. • Ability to translate between accounting business requirements and SAP technical configuration — comfortable working with both accountants and technical consultants. • Strong communication skills — able to articulate system design trade-offs to senior finance leadership clearly and concisely. • High ownership, attention to detail, and the ability to work independently without constant direction. **Preferred Qualifications** • SAP S/4HANA certification (e.g., SAP Certified Application Associate — Financial Accounting). • Experience with SAP Central Finance, SAP Analytics Cloud, or SAP BTP. • CPA, CA, or equivalent professional accounting certification. • Experience working at a high-growth technology or SaaS company. • Prior experience working on SAP implementations. • Familiarity with NetSuite (helpful for understanding the current-state processes being migrated). • Experience with Databricks or other data platforms. • Public accounting experience (Big 4 or equivalent). **Why This Role** • Shape SAP from day one — you are not inheriting a legacy system. You will define how SAP works for accounting at Databricks, with the authority to ensure it is built right the first time. • Challenge, don't just configure — this role exists specifically to push back on "that's how we've always done it" and ensure the implementation reflects what SAP can do, not what NetSuite did. • Own the platform long-term — this is not a project role. Post go-live, you will own continuous improvement, automation, and system operations — ensuring Databricks gets progressively more value from SAP over time. • Build on the Databricks platform — this is not a typical ERP role. You will define how SAP connects to the most advanced data and AI platform in the market, shaping how accounting data is used for reporting, analytics, and AI-driven automation. Few finance roles anywhere offer this combination. • Work at the intersection of accounting and technology — partner with a world-class finance team, a leading SI, and Databricks' own engineering organization to build something exceptional. • Grow your career — gain deep exposure to global accounting operations, finance transformation, and enterprise technology at one of the world's fastest-growing companies. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $145,700 — $200,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R715 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. As an Digital Natives Hunter Account Executive for the Nordics, you are an enterprise sales professional experienced in selling to Digital Native accounts across the Nordics. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and Partners. Always looking for new opportunities, you will close new accounts and expand them. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment. You will report to the Senior Sales Manager for Digital Natives. The impact you will have: • Assess your territory and develop a successful execution strategy • Use a solution-based approach to selling and creating value for new logo accounts • Identify and close quick, small wins while managing longer, complex sales cycles • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce • Exceed activity and quarterly revenue targets • Promote the value of the Databricks' Data Intelligence Platform • Ensure 100% satisfaction among all customers What we look for: • Understanding of the data platform and cloud ecosystems • Some exposure to the software industry and some basic concepts of selling SaaS, Data and Business Value • Basic understanding on how to research company information and identifying key stakeholders • Competent with prospecting research and ability to map out key stakeholders • Adept in selling to technical buyers • Understanding of MEDDPICC • Experience exceeding sales targets/quotas • Bachelor's Degree or relevant work experience • Fluency in English and Swedish (or another Nordic language) is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ128R8 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: • 6+ years experience in data engineering, data platforms & analytics, or software engineering • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps, ML/AI models and AI APIs • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. • Documentation and white-boarding skills. • Experience working with enterprise clients and managing conflicts across a broad stakeholder range • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. • Travel to customers 20% of the time • Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R7 As a Strategic Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling into Large Healthcare accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow a single strategic Payer account. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment. Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strategic Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks. Reporting to our Director of Strategic Provider Sales, you will map to two enterprise clients under the Healthcare umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client The impact you will have: • Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners • Grow two strategic Provider accounts • Identify and close quick, small wins while managing longer, complex sales cycles • Exceed activity, pipeline, and revenue targets • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce • Use a solution-based approach to selling and creating value for your customer • Promote Databricks' enterprise cloud data platform powered by Apache Spark™ • Ensure 100% satisfaction among your customer • Prioritize opportunities and apply appropriate resources • Build a plan for success internally at Databricks and externally with your accounts What we look for: • You have previously worked in an early-stage company, and you know how to navigate and be successful • Field sales experience within big data, Cloud, or SaaS sales • Experience managing large, complex Healthcare accounts is preferred. • Prior customer relationships with CIOs, program managers, and essential decision makers • Simply articulate intricate cloud technologies • 7+ years of experience exceeding sales quotas • Success working with and growing existing accounts • Understanding of Spark and big data preferable • Passion for cloud technologies • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R938 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks. We are looking for an Enterprise Sales Director to lead our growing Public Sector business in Ottawa. Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks' consumption. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a strong desire to drive value for our customers. You will oversee the sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting. This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the Canadian sales organization. We are looking for owners, who will go the extra mile and want to be the very best at what they do. The impact you will have: • Lead a team of account executives, ensuring you coach them to develop the skills and behaviors they will need to succeed • Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements • Report on revenue forecast and strategic GTM programs • Partner with cross-functional teams to manage a complete revenue and customer success process • Inspire a culture of teamwork, leading with value and achieving desired customers outcomes • Develop trust-based relationships with customers and partners to ensure long-term success • Encourage learning and ongoing understanding of technical product details and our future product roadmap • Establish a revenue growth and investment plan in the first 90 days • Deliver our strategic growth plans, in collaboration with the other function leaders across Canada, ensure forecast accuracy and a predictable, high-growth business What we look for: • Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry, specifically within the Public Sector space. • History of exceeding sales quotas in similar high-growth technology companies • Ability to engage with and hire sales talent in the market • Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality • Experience of value-based sales with both the business and IT stakeholders including C suite • Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales • Extended Executive relationship network with key customers. • Knowledge of the partner ecosystem to help grow Enterprise strategic territories • Success implementing strategies for consumption and commitment-based sales revenue models. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R11 Location: Adelaide At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: • Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. • Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. • Develop customer relationships and build internal partnerships with account executives and teams. • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R12 At Databricks, we’re on a mission to help organisations use data and AI to solve the world’s toughest problems — and few opportunities are more rewarding than driving positive change across the Federal Sector. We’re looking for a passionate and results-driven Enterprise Account Executive to help our government partners harness the full power of the Databricks platform. This is a pioneering sales role within our Public Sector Sales team, reporting directly to the Federal Sales Director. You’ll work at the forefront of digital transformation in the Federal space, helping agencies reimagine how they deliver outcomes and play a pivotal role in shaping Databricks’ presence across the country. As a successful candidate, you are a creative, energetic self-starter who understands the sales process. You know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always hunting for new opportunities, you will be asked to close net new accounts while maintaining existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota accomplishment. The Impact You Will Have: • Driving Consumption: Help customers derive value from the platform by identifying key use cases and increasing usage. • Champion real-world change: Lead initiatives that make measurable impact — from accelerating innovation to supporting sustainability and economic development. • Shape Databricks’ Public Sector footprint: Identify, structure, and close strategic opportunities that align our capabilities with Australia’s digital priorities. • Inspire through connection: Build trusted relationships with senior decision-makers, tell compelling stories about our impact, and influence at the highest levels. • Execute with excellence: Manage the end-to-end sales cycle — from prospecting and initial engagement to closing transformative deals and driving platform adoption. • Collaborate for success: Work with solution architects, customer success, and global teams to deliver solutions that empower customers and ensure long-term success. What We Look For: • A passion for impact — you’re motivated by helping organisations use technology for the public good. • Proven experience in enterprise or Public Sector/Federal sales, ideally in Cloud, Data, or SaaS. • Strategic and structured in approach, with strong execution and accountability. • Excellent communication and relationship-building skills with senior stakeholders. • Growth mindset, creativity, and adaptability in dynamic, innovative environments. • Knowledge of Spark and Big Data is highly desirable About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R903 Do you want to help solve the world's toughest problems with data and AI? At Databricks, we do this every day. As a Digital Native Account Executive at Databricks, you come with relevant experience selling to Digital Native accounts. As a successful candidate, you are a self-starter who understands the sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to close new business and grow existing accounts in Thailand market. You will report to the Sr. Manager, Emerging Enterprise & DNB The impact you will have: • Assess your accounts and develop a strategy to identify and engage all buying centers • Use a solution-based approach to selling and creating value for new logo accounts • Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle • Identify and close quick wins while managing longer, complex sales cycles • Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce • Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact • Orchestrate and work with teams to maximise the impact on your ecosystem • Build value with all engagements to promote successful negotiations to close point • Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform What we look for: • 5+ years of Digital Native Sales experience exceeding quotas, covering Thailand accounts or territory • Experience in working in a consumption-based sales motion • Strong closing experience and evidence of exceeding sales quota • Ability to navigate and be successful in a fast-growing organization • Sales experience within Cloud software, open source technology, or ideally Data and AI space • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams • Methods for co-developing business cases and gaining support from C-level Executives • Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling) • Simply articulate intricate cloud technologies • Bachelor's Degree or equivalent experience preferred • Proficiency in Thai language is required as this role serves clients based in Thailand and involves direct customer communications in native Thai language About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(P-1598) At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Designer, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI. As part of our 2027 APD cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, researchers, account teams, and leaders from across the company. The impact you will have: • Work with a cross-functional team to build features for the Databricks platform • Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from • Work with engineers and designers to ship features on the Databricks platform • Conduct research with customers to better understand their needs and improve your design What we look for: • You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in HCI or related design practice • You have the demonstrated ability to leverage AI tooling in your design process without sacrificing craft. • You use good judgement in visual hierarchy, layout, and information architecture to inform your design work. • You have some first hand experience with SQL and/or Python • You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer • You use analytical skills to make data-driven decisions (e.g. analyzing product usage, conducting user experience research) • You can make complex topics simple and communicate your design perspective to partners (engineers, customers, field) in both written and verbal form • You're excited to solve ambiguous problems with a collaborative team • You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $128,000 — $140,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(P-1594) At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Product Design Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful product designer at a high-growth enterprise technology company that operates at the important intersection of data and AI. You will have a dedicated mentor and will join our 2026 intern cohort where you'll connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12-week paid summer internship program. The impact you will have: • Work with a cross-functional team to build features for the Databricks platform • Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from • Conduct research with customers to better understand their needs and improve your design What we look for: • Pursuing a degree in design, human-computer interaction, or a related field with an expected graduation date of December 2027 or Spring 2028 • You have excellent interaction design skills with knowledge of user-centered design methodologies and usability. • You have a proven ability to efficiently build interactive prototypes leveraging the latest in AI tooling. • You use analytical skills to make data-driven decisions (e.g. analyze product usage) and can conduct basic usability testing and semi-structured interviews. • You have exceptional communication and storytelling skills, with the ability to make complex topics simple and clearly communicate nuance to partners (engineers, customers, field, etc.) in both written and verbal form • You are excited to solve ambiguous problems with a collaborative team Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Bellevue, Washington Hourly Rate $34 — $42 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

**Sr. Automation Engineer - IT Asset Management** Req ID: GAQ427R222 **About the Role** As a Senior Automation Engineer on the IT Asset Management team at Databricks, you will be the technical engine behind transforming how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware. Your primary mission is to eliminate manual toil and build scalable, AI-powered automation that makes asset operations fast, accurate, and effortless as Databricks scales past 14,000 employees. Your initial focus will be on IT asset management workflows: automating new hire laptop provisioning, SaaS license lifecycle management, asset data reconciliation, and hardware recovery. Over time, you will expand your automation footprint across IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management. This role requires a strong automation-first mindset, the ability to learn new domains quickly, and comfort building with AI/LLM tools. You will report to the Senior Manager of IT Asset Management. **The Impact You Will Have** • New hire laptop provisioning: Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a 75% reduction in manual ticket toil. • SaaS license lifecycle: Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive $1.5M+ in annual savings and cost avoidance. • Asset data quality: Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy. • Offboarding asset recovery: Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance. • Broader IT Ops automation (over time): Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures. **What We Are Looking For** **Core Qualifications** • 5+ years of experience in IT systems engineering, automation engineering, or a related technical role. • Proven track record of delivering complex, multi-system automation projects with measurable business impact. • Strong automation-first mindset: you see a manual process and immediately think about how to build a scalable, reliable automated solution. • Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver consistently high-quality work in a fast-paced environment. • We value a great generalist who can learn a domain quickly over a narrow specialist. You should be comfortable ramping into unfamiliar systems and business processes and building effective automation without needing deep prior domain expertise. **AI and LLM Automation** • Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar). • Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems. • Experience with prompt engineering, agent frameworks, or AI-assisted code generation in a production or operational context. • Comfort evaluating and selecting the right AI approach for a given problem, whether that is a deterministic rule, an LLM call, or a hybrid. **Automation and Integration** • Experience building and troubleshooting integrations between IT platforms such as ITSM tools (FreshService, ServiceNow, or similar), identity platforms, and asset management systems. • Experience designing automation for IT operational processes: onboarding/offboarding, access provisioning, license management, asset tracking, or similar. • Familiarity with REST APIs, scripting (Python, Bash, or similar), and the ability to connect systems that were not designed to talk to each other. • Experience with data pipelines, ETL, or data quality workflows is a plus. **Collaboration and Communication** • Strong cross-functional collaboration skills. Comfortable working with IT operations, security, procurement, finance, and vendor partners. • Effective at documenting solutions and training peers on new tools and processes. • Clear communicator who can translate complex technical work into business terms for non-technical stakeholders. **Nice to Have** • Experience with Databricks, data lakehouse architectures, or SQL-based analytics platforms. • Experience with IT asset management or SaaS management tools (e.g., Oomnitza, Productiv, Zluri, or similar). • Experience with no-code/low-code automation platforms (e.g., Tines, Workato, or similar). • Familiarity with ITIL processes or IT service management frameworks. **Location** US-based, West Coast preferred. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $143,400 — $197,100 USD Zone 2 Pay Range $129,000 — $177,450 USD Zone 3 Pay Range $121,800 — $167,550 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Location: Seattle, WA or San Francisco Bay Area, CA REQ ID - FEQ427R648 Mission We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Senior SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in various verticals. Outcomes • You work with multiple clients as the main technical voice for Databricks. • You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy • You implement the technical strategy in the account, in close understanding of the strategy. • You build a movement of technical champions within the account. • You align technical strategies around Databricks solutions. • You provide structured mentorship for other team members. • Gain the respect of your peers based on your experience, insight, and contributions. Competencies: • Proficiency at establishing virtual teams, and leading them to ultimate success within the account. • Experience working very large (> $1m ARR), global accounts. • Form relationships with executives and influencers. • Present a convincing point-of-view to important decision-makers that leads them down a path of success. • Technical in big data, data science and cloud. • An ability in data-driven business transformation, and driving change with data. • Production programming experience in Python, R, Scala or Java • Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $219,100 — $301,300 USD Zone 2 Pay Range $219,100 — $301,300 USD Zone 3 Pay Range $219,100 — $301,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ227R233 MANAGER, FIELD ENGINEERING About the Role As a Manager, Field Engineering, you will lead a team of technical customer advisors who help organizations solve complex data, analytics, and AI challenges. You will work closely with Sales and cross-functional partners to translate customer priorities into effective technical strategies, strong customer outcomes, and durable business impact. This role is typically aligned to an account district, patch, segment, or comparable portfolio and leads a team of approximately 8–10 Field Engineering professionals. You will stay close to the work while building the coaching, operating, and collaboration practices that enable your team to succeed. The Impact You Will Have Lead, coach, and develop a high-performing and inclusive Field Engineering team. Partner with account teams to define technical-win strategy, qualify opportunities, prioritize customer needs, and align team resources. Build trusted relationships with customer stakeholders, including Director-, Head of, and VP-level audiences as appropriate to the engagement. Guide discovery, solution strategy, architecture discussions, adoption planning, and value realization for customer engagements. Establish regular operating rhythms to inspect progress, customer health, technical risk, escalations, capacity, and business impact. Coach team members to communicate clearly, navigate ambiguity, influence stakeholders, and connect technical recommendations to business outcomes. Maintain technical credibility across Databricks platform concepts, data and AI technologies, cloud architecture, governance, security, and networking. Represent customer needs internally and partner with Product, Engineering, Support, Professional Services, Marketing, and Partners to resolve issues and improve outcomes. Create a culture of psychological safety, inclusion, accountability, continuous learning, and recognition. Experiment with AI-enabled tools and repeatable practices that improve team productivity and customer impact. What We Look For Experience leading technical customer-facing professionals in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment. A track record of hiring, coaching, motivating, and retaining strong technical talent. Ability to provide timely feedback, hold clear career conversations, recognize contributions, and address performance issues directly and compassionately. Strong customer-advisory skills, including discovery, executive communication, technical storytelling, and value-based solutioning. Practical technical judgment and the ability to coach team members through architecture, deployment, adoption, and risk discussions. Operational discipline: you use data and inspection mechanisms to identify issues, make priorities visible, remove blockers, and drive predictable execution. An AI-first, builder mindset: you learn quickly, test new approaches, incorporate feedback, and use AI to improve customer and team outcomes. Demonstrated alignment with Databricks Culture Principles, including humility, curiosity, transparency, inclusion, and accountability. Basic Qualifications Experience managing or leading a technical customer-facing team. Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements. Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. Strong written, verbal, presentation, and stakeholder-management skills. Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications Experience with Databricks or comparable data and AI platforms. Experience building trusted relationships with senior technical and business stakeholders. Experience using data, automation, or AI-enabled tools to improve team effectiveness. Experience supporting customers across multiple use cases, technical environments, or business functions. #CMEG Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $172,500—$237,150 USD Zone 2 Pay Range $172,500—$237,150 USD Zone 3 Pay Range $172,500—$237,150 USD Zone 4 Pay Range

RDQ227R1180 While candidates in the listed location(s) are encouraged for this role, candidates in other locations (US based) will be considered. The Incident Response team's mission is to respond to security threats, incidents and investigations to protect our customers, employees and enterprise data in a fast, efficient and standardised manner. We're a tight-knit team of security incident responders and incident handlers doing "Security for Databricks on Databricks", using our own platform to create near-real-time log analytics, alerting and forensics. You will be an individual contributor on the security Incident Response (IR) team at Databricks, reporting to the regional IR manager. You will be responsible for conducting security analysis and forensics, responding to high-priority alerts and contributing to automations and agentic capabilities. You will be a security multiplier and help the team scale security incident response at Databricks. The impact you will have: • You will respond to incidents as part of a distributed 24x7 operations and on-call schedule. • You will triage and respond to security events and alerts, ensuring quick and effective containment. • You will conduct analysis and forensics across a range of data sources to determine the timeline and impact of security events. • You will provide technical leadership and influence team direction. • You will develop solutions, including leveraging AI and agentic platforms, to deliver autonomous capabilities, expedite your work and scale the impact of the team. • You will communicate technical decisions through design docs and tech talks, and mentor junior security responders via security guidance, design reviews and code reviews. What we look for: • Must have an active or current US GOV Secret clearance eligibility; Top Secret preferred. • Bachelor's Degree AND 7+ years experience in Incident Response work OR Master's Degree AND 5+ years experience. • Cloud security expertise in at least 1 of AWS, GCP or Azure, and proficiency in the others. • Proficiency in AI/LLM and agentic capabilities. Prefer experience with building and operating agentic systems in a security setting. • Broad security subject matter expertise. • Expertise in a few core IR skills (DFIR , Reverse Engineering, Traditional Network Security, Storage and access security, Sandboxing, Compute security, etc.). • Experience with Enterprise Security and SaaS applications. • Working knowledge of a SIEM and SOAR. • Experience building Incident Response Tooling, scripting language skills and experience with AI coding tools. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

MKTQ427R49 We're looking for a content lead who sits at the intersection of brand content storytelling and AI-era discoverability. You will own the creation of high-quality and high-volume brand content, ensuring that content is structured, distributed, and measured to win visibility across AI answer engines. You will produce and edit compelling content and employ optimization strategies to make sure LLMs discover, parse, and cite it. You will identify content gaps by analyzing where the brand is (and isn't) showing up in LLM answers, map those gaps against business objectives, target audiences, and product priorities, and orchestrate a mix of AI agents, technical writers, and internal teams to close them. A core part of this orchestration is overseeing a system of AI agents that create, optimize, and evaluate content — a task that requires real editorial expertise applied to prompt design and agent engineering, not just tool adoption. You will be responsible for building and maintaining the brand context, target prompts, and writing guidelines that guide agents and internal SMEs to create on-brand, accurate, and authoritative content. A major part of the role is editorial judgment: this includes reviewing drafts from agents and adjusting prompts and inputs to improve output quality. The impact you will have: Within 12–24 months in this role, success looks like: • The content roadmap is driven by evidence. You've stood up ongoing GEO/AI answer analysis, and every major content bet ties back to a documented gap — where the brand is underrepresented, inaccurate, or absent — requiring gap-analysis skills and fluency with GEO/AI-visibility diagnostics. • Business priorities and content output are in lockstep. The roadmap (blogs, video, web pages, thought leadership) is visibly built from business objectives, audience search intent, and product priorities, and stakeholders can trace any piece of content back to a prompt that justified it — requiring sharp prioritization judgment and the ability to translate business strategy into editorial direction. • A multi-resource content engine runs smoothly. Agencies, freelance contractors, internal writers/producers, and AI content agents are each matched to the content types they're best suited for; workflows include adequate content review, and handoffs don't create bottlenecks — all of which require strong orchestration and tool/vendor/contributor management skills. • Every piece of published content clears the bar you’ve set for that medium. You're the final editorial checkpoint on all content — agency, contractor, internal, or AI-generated — and your revision notes are specific enough to reliably lift drafts to brand standard, requiring proven editorial judgment across formats (long-form, blogs, video scripts, web copy). • Content is winning visibility and citation share. Published content is structured to be entity-rich, answer-first, well-sourced, and citation-worthy for LLM retrieval, without losing readability or brand voice — requiring hands-on GEO/AEO expertise layered on solid SEO and writing fundamentals. • Leadership can see the line from content to business outcome. You track GEO performance alongside traditional metrics and report on it regularly. • The broader marketing team writes and creates with GEO/AI-visibility in mind by default. You've enabled marketers across the org on GEO prompts and tools, AI writing agents, brand context, and best practices for quality writing. What we look for: • 10+ years in content strategy, brand content, or editorial leadership, with experience managing a mix of internal and external contributors. • Strong editorial judgment — proven ability to review and elevate drafts across formats to a consistent brand standard. • Working knowledge of SEO fundamentals plus hands-on recent GEO/AEO experience — comfortable diagnosing why a brand isn't being cited or surfaced correctly by LLMs. • Experience managing agencies and/or freelance contractors, and comfort building and optimizing AI content tools/agents as part of a production workflow. • Familiarity with GEO/AI-visibility tools such as Profound, Conductor, AirOps, Peec.ai, or similar platforms. • Proficiency with Semrush, Google Search Console, and Google Analytics (GA4) to track technical optimization and brand visibility in traditional search engines. • Sharp analytical instincts paired with strong creative/editorial taste. • Experience in B2B tech, data/AI, or enterprise SaaS. • Familiarity with schema markup and structured data for AI/search discoverability. • Experience overseeing video production workflows. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $223,100 — $306,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

MKTQ427R50 As the Director of Technical Marketing at Databricks, you will lead and scale the team responsible for explaining Databricks products, and what you can do with them, at scale to technical buyers and practitioners (from data engineers, data scientists, and ML engineers to solutions architects, platform teams, security engineers, and application developers). You will own the strategy and execution of technical content in written and video form, demos, workshops, launch storytelling, and outbound evangelism that drives technical mindshare, consideration, product adoption, and ultimately pipeline. In the era of agentic marketing and AEO/GEO, your team will increasingly produce content designed to educate both humans and agents alike. You will also play an outsized role in programming the technical content for key Databricks events, such as the Data + AI Summit and Data + AI World Tour, among others. Reporting to the SVP of Product & Solutions Marketing, you will manage a team of 6+ Technical Marketing Managers (growing) and serve as the connective tissue between Product, Product Marketing, Field Engineering, and the broader technical community. This role expands the traditional TMM charter to include a stronger outbound evangelism dimension, becoming a visible, trusted technical voice externally through social media, YouTube, conferences, and the data practitioner ecosystem while continuing to own the core technical content engine that powers Summit, World Tour, workshops, and field enablement. The impact you will have: First 6 months: • Assess the current TMM team's strengths, gaps, and capacity; establish a clear operating model with defined ownership areas (product coverage, content types, GEO) and a quarterly planning cadence. • Own and deliver the technical content agenda for Data + AI World Tour and/or the next major Tier 1 event, achieving ≥4.5/5.0 average session ratings and measurable pipeline contribution. • Launch or significantly expand at least 2 new outbound evangelism motions (e.g., a YouTube series architecture, a technical social media cadence, or a creator/influencer engagement program) that grow Databricks' external technical reach by ≥25%. • Build an AI-powered publishing engine that enables the TMM team to scale content faster, leveraging AI assistance for content creation and publishing. • Establish yourself as a credible external technical voice, publishing 3+ original technical pieces (blogs, videos, or talks) and representing Databricks at 2+ external events or podcasts. First 12 months: • Scale the TMM team to meet growing demand across an expanding set of technical personas (solutions architects, platform engineers, security teams, data scientists, analysts, app developers) driven by the 2026+ product surface (Lakebase, Genie, Lakewatch, Agent Bricks, Omnigent). • Work with Databricks Field Engineering and FDE (Forward-Deployed Engineering) to capture repeatable product use cases into a Solutions Library, building a motion to scale capture and marketing of these use cases for learning across the entire community. • Build and operationalize a "1 launch → many assets" content engine that converts every major product launch into persona-specific learning journeys (demos, workshops, blogs, videos, social). • Grow Databricks' YouTube and social technical content reach by 2x, with a series-based content architecture targeting key personas at multiple depth levels. • Drive measurable contribution to AEO/GEO (Generative Engine Optimization) ensuring Databricks is cited by default in AI answer engines for key buyer questions. First 18–24 months: • Establish Databricks as the default place every technical practitioner learns data + AI, measured by YouTube subscriber growth (target: 300K+), technical content engagement, and Free Edition activation rates tied to content. • Build a formal Databricks Creators program that turns independent creator reach into co-owned, accurate, early-access content across new product areas. • Develop the TMM team into a recognized center of excellence — with clear career paths, a strong hiring bar, and a reputation as one of the best technical marketing teams in enterprise software. What we look for: • 10+ years of experience in technical marketing, developer relations, solutions engineering, field engineering, or a related technical field in enterprise software / SaaS / cloud. • 3+ years of people management experience, with a track record of hiring, developing, and retaining high-performing technical teams. • Deep technical fluency in data, AI/ML, and cloud platforms, comfortable building demos and engaging credibly with data engineers, data scientists, solutions architects, and other technical practitioners across the data + AI ecosystem. • Demonstrated outbound evangelism skills, including a visible external presence through conference speaking, technical blogging, YouTube/video content, or social media thought leadership. • Experience owning technical content strategy for major product launches and flagship events (e.g., user conferences, world tours). • Strong cross-functional influence with a proven ability to partner with Product Management, Product Marketing, Field Engineering, and Sales to align on priorities and deliver integrated GTM. • Excellent written and verbal communication skills, with the ability to translate complex technical concepts into compelling narratives for multiple audiences. Preferred: • Experience with data platforms, lakehouse architectures, Apache Spark, or related open-source data technologies. • Experience building or scaling a YouTube channel, podcast, or technical content program for practitioner audiences. • Familiarity with GEO / AI answer engine optimization strategies. • Experience with technical community building, creator programs, or influencer engagement across practitioner audiences. • Track record of building technical content that drives measurable pipeline and product adoption. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $240,100 — $330,100 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

RDQ425R38 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. At Databricks, our mission is to simplify and democratize data and AI so that every organization can put them to work. Design is central to that mission. We turn powerful, complex technology into clear, accessible, and trustworthy experiences that open advanced capabilities to all kinds of users. The Strategic Partnerships team is responsible for establishing and developing deep, long-term alliances with the world’s most important technology companies in the Data & AI ecosystem. We focus on CEO-priority partnerships that have the potential to be highly impactful to the Databricks business. As the Director, Strategic Partnerships, you will be a key team member structuring strategic partnerships with leading cloud hyperscalers and Neoclouds. You will collaborate with internal stakeholders including product, engineering, sales, and finance to develop and optimize strategic partnerships, with an emphasis on growth and business economics. You will develop relationships with our strategic partners’ decision makers and identify opportunities for win-win collaboration. This job is fast-paced, cross-functional, and requires strong communication, prioritization, organization, and presentation skills. You must have deep subject matter expertise in cloud computing consumption-based business models and technologies. You also must have at least 7+ years of business development experience negotiating bespoke, non-programmatic deals. **The impact you will have:** • Develop and negotiate partnerships that drive long-term growth of the Databricks business, deliver innovation and value for our customers, and create value for strategic partners. • Collaborate cross-functionally with product, engineering, finance, sales, and marketing stakeholders to develop strategic partnership objectives. • Build deep relationships with stakeholders in partner organizations to align their business objectives for win-win outcomes. • Influence product and engineering decisions by providing data-driven insights and qualitative analysis supporting the partnership opportunity. • Develop KPIs to define, measure, and drive success of partnerships. • Work closely with the VP, Strategic Partnerships and Databricks executive team to scale thought leadership for new opportunities. **What we look for:** • Minimum of 7+ years of experience in business development, corporate development, or consulting. • Proven track record negotiating highly bespoke commercial arrangements with C-suite level counterparties. • Strong analytical skills, with proficiency in developing first-principles and data-driven business cases and strategic plans using a variety of tools. • Strong understanding of GTM and sales motions that drive partnership success. • Excellent communication and presentation skills, capable of distilling complex analyses into clear messaging for executives and stakeholders. • Strong judgment, ownership, and cross-functional leadership. • Ability to drive deal processes autonomously as the deal lead. • Strong bias for action mindset with the ability to make an impact in a face-paced environment. • MBA degree or a related field; or equivalent business experience. • Bachelor’s degree in Computer Science, Engineering, or a related field; or strong, proven technical aptitude. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $243,600 — $334,950 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $219,300 — $301,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R846 As a Digital Native Account Executive at Databricks, you have a strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to prospective customers and partners. Always prospecting for new opportunities, you will target net-new accounts. Along with the chance to close exciting deals, we also offer accelerators for exceeding 100% quota. You will report to a regional sales manager. The impact you will have: • Assess your accounts and develop a strategy to identify and engage all buying centers • Use a solution approach to selling and creating value for customers • Identify the most viable use cases in each account to maximize Databricks impact • Orchestrate and work with teams to maximize the impact on your ecosystem • Build value with all engagements to promote successful negotiations to close point • Promote Databricks enterprise cloud data platform powered by Apache Spark • Be Customer focused by delivering technical and business results using the Databricks Platform • Promote Teamwork...it makes the Dreamwork! What we look for: • You have previously worked in an early-stage company, and you know how to navigate and be successful in a fast-growing organization. • Sales experience within big data, Cloud, or SaaS sales • Prior customer relationships with CIOs and important decision-makers • Simply articulate intricate cloud technologies and big data • Experience exceeding sales quotas • Success closing new business to net new accounts • 5+ years of sales experience in SaaS/PaaS companies • Bachelor's Degree Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $272,000 — $374,000 USD Zone 2 Pay Range $272,000 — $374,000 USD Zone 3 Pay Range $272,000 — $374,000 USD Zone 4 Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to existing digital native customers. The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) • [Desired] Expertise in one of the following: • Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks. • Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R38 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have • Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas • Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders • Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy • Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes • Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence • Drive adoption, consumption, and measurable business outcomes through technical strategy and execution • Lead complex technical escalations spanning multiple systems, teams, or workloads • Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions • Mentor DSAs and contribute to technical enablement, specialization, and thought leadership What We Look For • 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role • Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments • Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams • Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures • Strong coding proficiency in Python, SQL, Scala, or similar languages • Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments • Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation • Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations • Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority • Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership • Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements • Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have • Databricks experience or certification • Recognized expertise in a Data and AI specialization or competitive technology • Experience influencing product direction through structured customer feedback • External technical thought leadership through blogs, conferences, summits, seminars, or industry events • Experience mentoring technical talent or leading enablement across teams or regions About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ128R40 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value. This is a technical and customer-facing role focused on architecture, technical strategy, and customer outcomes. You will influence technical execution across complex use cases, guide architectural decisions, and align Databricks, customer, and partner teams from technical win through production and adoption. The Impact You Will Have • Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts • Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions • Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs • Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes • Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence • Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes • Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery • Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization What We Look For • 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role • Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams • Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions • Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures • Experience designing secure, governed, scalable, and production-ready data solutions • Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation • Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders • Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization • Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership • Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority • Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to Have • Databricks experience or certification • Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations • Experience with AWS, Azure, or GCP and production cloud deployments • Experience creating reusable technical frameworks, demos, or enablement that scale across teams About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ128R17 Want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks. Databricks operates at the leading edge of the Data and AI space. Our customers turn to us to lead the accelerated innovation their businesses need to gain first-mover advantage in today's ultra-competitive landscape. We are looking for a creative, delivery-oriented Strategic Enterprise Account Executive to join the team in Israel to maximise the phenomenal market opportunity that exists for Databricks. As a Strategic Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to customers and partners. You will report to the Senior Director, Enterprise Sales, Israel. The impact you will have: • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals • You will lead your team, customers and partners to identify impactful data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform • You will implement the data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement • You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions What we look for: • Extensive experience selling complex solutions to Enterprise Customers • You will have experience managing and leading complex, federated sales campaigns in major accounts • You will have experience working in Data, Cloud industries with some technical sales experience • Proof of exceeding sales quotas in high-growth Enterprise software companies • You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI) • Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting • Bachelor's Degree or relevant work experience • Fluent Hebrew and business English is required About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ127R154 As a Senior Production Engineer working on Databricks’ realtime products you will be directly contributing to our customers’ success. You will build advanced monitoring and incident mitigation tooling, and drive changes across the stack to proactively make the realtime products like Lakebase, Neon and Model Serving reliable, secure, and scalable in production. Our production engineers understand the Databricks platform from end to end, and partner across engineering teams, building durable solutions for a platform operating across AWS, Azure, and GCP. **The Impact You’ll Have** Observability • Build advanced monitoring and detection capabilities that give early warning of issues and deep insights into workload performance and customer experience. • Build reliable, observable automation for debugging and incident mitigation. Reliability • Improve service reliability, scalability, security, and operational efficiency. • Develop dependable, safe, mitigations for production issues. On-Call & Incident Response • Participate in a follow-the-sun on-call rotation and lead incident response and mitigation. • Perform root-cause analysis, identify and implement lasting corrective actions. • Partner with Product Engineering, Security, Support, and other infrastructure teams on follow up actions. **What We Look For** Experience • 5+ years of experience in Production Engineering, Customer Reliability Engineering (CRE), Site Reliability Engineering (SRE), infrastructure engineering, backend software engineering, or a related field. • Experience in holistic monitoring and alerting of complex stateful systems, applying multiple strategies like workload alerting, anomaly detection and probing. • Experience with PostgreSQL, or related managed databases or distributed systems. • Experience in incident management and participating in on-call rotations for critical infrastructure. Skillset • A mindset focused on automation, root-cause resolution, and continuous improvement. • Strong programming skills in one or more languages such as Python, Go, Java, Scala, or similar. • Proficiency with infrastructure automation and Infrastructure as Code. • Ability to work across system boundaries and collaborate effectively during complex incidents, and engage with customers’ infrastructure teams. • Experience in using AI to address production and operational challenges. Bonus • Experience with AWS, Azure, or GCP. • Experience with Lakebase or Neon. • Experience with Kubernetes, Terraform. • Experience building internal platforms, operational tooling, or developer productivity systems. Education • BS degree (or higher) in Computer Science, or a related field. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ227R209 **About the Role** Databricks needs to understand what technical capability looks like across several large, fast-moving populations: employees, customers, and partners. Today that happens through role-based learning pathways and product-aligned enablement, an approach that can't keep pace with how quickly the platform, technology, and roles change. AI has also collapsed the half-life of technical proficiency, and for the first time, it makes a living, self-maintaining model of capability possible. In this builder role, you'll own systems for defining, measuring, and developing technical capability across Databricks learner audiences. You'll build a capability model that ties roles, skills, content, and credentials together and the instrumentation that shows where capability actually stands. **What You'll Own** **Skills taxonomies, capability models, and learning context** • Define the skills taxonomies that make up technical capability and shape how they’re organized; what skills exist, which are adjacent, which are prerequisites, how quickly they go stale, and what sources are available to learners for developing and maintaining them. **Observability and measurement** • Stand up instrumentation and AI-informed signals that show where capability stands and where it's drifting. Develop live signals, not a quarterly or monthly health index, to show how skills are moving and evolving. • Anticipate where capability demand is heading. Product releases, market shifts, and role evolution are constant; track changes closely so emerging skills surface early and content and programs stay ahead of change. **AI-native tooling** • Build the software that maintains the skills taxonomy and capability model, including LLM-driven skill extraction and organization, agentic pipelines that keep them current, automated drift and gap detection, and APIs that expose it all. • Make the model reusable enterprise context that other systems, teams, and products build on vs. a training-only asset. **Impact You'll Have** You will sit upstream of and across several teams and functions: • Anywhere skills show up in products: You define what technical capability means and what evidence counts, so wherever skills are inferred, captured, or recognized, it reflects real technical work and skills & abilities. • Content and curriculum. The skills taxonomy and capability model influence what gets built next and why. Learning context is a critical input to generative content. • Learning architecture and in-product training: Your work informs what learning belongs where and how it’s presented. Pathways are assembled with the model and taxonomy instead of mapped by hand; in-product training surfaces them to learners. • Certification & accreditation. The capability model grounds skills assessment to guide and accelerate exam developers. • Learning & enablement. You give the organization a current view of capability across every audience, and a shared model to build and plan against. **What We're Looking For** • Experience in technical training, learning, enablement, or product education in data & AI, cloud, or comparable product categories. • Experience designing capability or skills models and the systems around them, spanning modeling, measurement, and instrumentation. • A builder mindset. Ability to use Python and SQL and build apps, with AI assistance, and wire up pipelines and stand up tooling yourself. • AI-native. AI tooling is how you build and reason, from extraction and assessment to agentic workflows and evaluation. You understand when to reach for AI and when not. • A track record of moving strategy as an IC through analysis and clear writing. Nice to Have • Familiarity with off-the-shelf skills-intelligence tooling and build-vs-buy tradeoffs. • Experience instrumenting capability data across several audiences. **What Success Looks Like in Year One** • A live skills taxonomy, capability model, and learning context resources are published, and content, learning, and certification teams plan against them. • Decisions about what to build, refresh, or retire leverage the skills taxonomy and capability model, so content better keeps pace with the product, and investment goes where capability demand and skill gaps are real. • In-product training uses the model to target and measure learning, so learners can see what moves them forward, and stakeholders get insight into skills attainment within their audiences. • Teams that bring skills into products work from the same model, so a skill means the same thing wherever someone encounters it. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $117,400 — $161,350 USD Zone 2 Pay Range $105,600 — $145,200 USD Zone 3 Pay Range $99,800 — $137,150 USD Zone 4 Pay Range $93,900 — $129,150 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-225 Solutions Architect - MFG - West Location: Western Canada As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: • You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. • Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. • You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. • Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications. • Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars. What we look for: • 7+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies: • Big data engineering (Ex: Spark, Hadoop, Kafka) • Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS) • Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO) • Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more) • Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business. • Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures. • Fluent in SQL and database technology. • Debug and development experience in at least one of the following languages: Python, Scala, Java, or R. • [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP • [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research) • Travel to customers in your region up to 30% of the time. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticpates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Canada Pay Range $185,000 — $225,000 CAD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

The Role As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML & AI within a range of use cases important to the digital native customers in the Fintech space The Impact You Will Have • Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth • Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions • Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain • Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role • Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations) • Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) • [Desired] Expertise in one of the following: • Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks. • Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies Nice to Have: • Databricks certifications (Data Engineer, ML, Platform) • Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider • Industry domain expertise (Financial Services, Insurance, Banking, etc.) Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R821 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. As we continue our rapid expansion, we are seeking a dynamic, results-oriented Strategic Hunter Account Executive to join our DoW team supporting Space Force. In this pivotal role, you will own the account. This is a high-visibility opportunity to deepen relationships, explore new mission avenues, and deliver transformative outcomes within the accounts. Reporting to our Senior Director of Enterprise Sales, as a Strategic Hunter Account Executive at Databricks, you will focus on identifying, engaging, and securing new opportunities within the accounts. You are a true hunter — establishing executive-level connections, uncovering untapped potential, and positioning Databricks as the premier platform for data, analytics, and AI innovation. You will be leveraging your extensive hunting expertise, along with your solutions sales experience in selling technical solutions in data/AI, advanced Analytics to inspire the client’s vision and help shape how they leverage these technologies to drive business outcomes. Your success will be measured by your ability to generate demand, close high-value deals, and expand Databricks’ footprint within the accounts. The impact you'll have: • Leverage your expertise to identify new opportunities and create use cases that demonstrate Databricks’ value and impact. • Use your network and strong relationship skills to broaden our presence within complex organizations—engaging key decision-makers and trusted partners to drive growth. • Develop structured account plans that address your client’s business priorities and position Databricks as a long-term digital transformation partner. • Draw on your experience selling cloud-based solutions to navigate enterprise cycles, secure executive sponsorship, and deliver beyond customer expectations. • Work closely with Databricks teams and selected partners to deliver tailored solutions that meet the specific needs of the customers. • Apply your sales expertise to close sophisticated business and drive clear, measurable results within the accounts. What we look for: • Demonstrated passion and experience in selling complex, technical cloud solutions, with the drive to understand and translate advanced technology into mission outcomes. • Extensive Hunting experience and understanding of the complexities and nuances of strategic accounts. A track record of selling into Large Enterprise accounts is essential. • Proven hands-on experience working with open source technologies, and a strong background in advising on build-versus-buy decisions for enterprise clients. • Proven track record in selling big data, AI/Analytics solutions, with expertise navigating multi-stakeholder enterprise environments. • An understanding of, or experienced in selling consumption model solutions is highly desirable. • Experience of applying value-based selling methodologies, consistently positioning technology solutions around measurable customer impact and ROI. • Creative, resourceful sales professional with a structured and proactive prospecting motion—capable of building a sustainable pipeline from scratch. • Consistently exceeded sales quotas, showing a results-driven approach and commitment to surpassing ambitious targets. • Grit, resilience, and tenacity—excited by the challenge of opening greenfield accounts, building new relationships, and driving growth in untapped territories Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $272,000 — $374,000 USD Zone 2 Pay Range $272,000 — $374,000 USD Zone 3 Pay Range $272,000 — $374,000 USD Zone 4 Pay Range $272,000 — $374,000 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R597 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have • Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) • Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions • Proven track record of driving consumption growth and platform adoption in large accounts • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued • Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions. Nice to Have: • Databricks certifications • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company • Published thought leadership (blogs, conference talks, open source contributions) • Industry vertical expertise with executive-level domain credibility Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R115 Location: Melbourne At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: • Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives. • Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. • Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. • Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: • Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. • Develop customer relationships and build internal partnerships with account executives and teams. • Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. • Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s). • Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R94 As an Enterprise Account Executive - Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts in diverse sectors. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Director, Sales in Japan. The impact you will have: • Secure new Enterprise accounts across multiple industries, creating a strong foundation for long-term partnerships. • Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets. • Identify and close quick wins while managing longer, complex sales cycles. • Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact. • Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates. • Use a solution-based approach to selling and creating value for customers. • Develop a deep and detailed understanding of the customer's business. • Provide leadership to the customer, important staff, and technical teams. • Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization. • Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions. What we look for: • 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Enterprise segment. • Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem • Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies. • 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message. • 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use. • Build customer champions and collaborative teams to support the implementation of the expansion plan. • Understanding of how to develop a clear partner strategy and manage it successfully. Enterprise Account Executive - Hunterとして、あなたは主なミッションは複数の業界に属する顧客において新しいビジネスチャンスを特定し、獲得し、成長させることです。このロールは新規顧客を獲得し、エンタープライズ顧客におけるターゲットの売上拡大を促進することに重点を置いています。 あなたは、お客様とのリレーションを構築し、複雑な販売サイクルの中で大規模な取引を成立させることに成功する、積極的な「ハンター」です。部門横断のチームと緊密に連携し、お客様のニーズに対応したソリューションを提供し、長期的なパートナーシップを確立していただきます。日本の Sales Director 配下となります。 期待されるインパクト： • 複数の業界にわたる顧客を獲得し、長期的なパートナーシップのための強力な基盤を構築する。 • 未開拓の市場で潜在力の高い顧客を特定し、獲得するための焦点を絞った戦略を開発および実行する。 • 複雑かつ長期の販売サイクルをコントロールし、早期の案件を発掘し獲得する。 • 新規に獲得した顧客におけるビジネス効果を最大化するため、Databricksの利用拡大を計画、推進する。 • エンジニアリング、プラットフォーム、アーキテクチャ、データ サイエンスの役割を含む重要な経営幹部レベルの関係を確立し、業界のアドボケイトとなる。 • ソリューションアプローチにより販売し、顧客価値を創出する。 • 顧客のビジネスを深く詳細に理解する。 • 顧客、組織、技術チームに対してリーダーシップを発揮する。 • 顧客の組織内でのDatabricksのインパクトを高めるために、案件における全ての重要なデータのユースケースと利用部門を特定する。 • Databricksチームとエコシステムパートナーを連携し、ビジネスへのインパクトを最大化する。 求める人材: • エンタープライズの著名な組織に数億円規模の複雑なソフトウェア取引を販売した 5 年以上の経験。 • 優先セグメント、購入プロセス、購入サイクル、意思決定プロセス、エコシステムに関する知識。 • 従量制の PaaS/SaaS ソリューション、またはその他のデータ/AI/ML テクノロジーを販売した経験。 • 営業メソッドおよびプロセスにおける 5 年以上の経験。 例）アカウントプランニング、MEDDPICC、バリューセリング、Command of the Message。 • 未開拓市場のハンター営業およびさらなる利用拡大のための既存顧客へのコンサルティングにおける 5 年以上の経験。 • 拡大計画の実行をサポートする顧客のチャンピオンと協同チームの発掘。 • 明確なパートナー戦略の策定とそれを成功に導く方法に関する理解。 About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R310 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: • 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management including account, stakeholder and resource management accountability • Experience resolving complex and important escalation with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R259 Locations - Sweden, Denmark, Finland (Hybrid/Remote) At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on: • Designing secure, scalable architecture • Aligning people, processes, and technology • Establishing trusted advisor relationships • Leveraging the broader ecosystem of Databricks experts This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans. While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: • Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise • Create and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments • internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership What we look for: • Programming experience in PySpark, Python and Databricks (or similar data platform) • Understanding and hands-on experience of solution architecture-related distributed data and analytics systems • 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program coordination including account and stakeholder management • Experience resolving complex and important escalation with senior customer technical stakeholders • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R400 Mission As a Sr Specialist Solutions Architect (SSA) - ML & AI Engineer, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader. The impact you will have: • Architect production level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc. • Serve as trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems • Build, scale, and optimize customer AI workloads and apply best in class MLOps to productionize these workloads across a variety of domains • Provide advanced technical support to Solution Architects during the technical sale ranging from feature engineering, training, tracking, serving to model monitoring all within a single platform, as well as participating in the larger ML SME community in Databricks • Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ AI offerings What we look for: • 7+ years of hands-on industry ML experience in at least one of the following: • ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring. • AI Engineer: Experience with the latest techniques in LLMs & agentic systems including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI • Experience with data engineering, or a good understanding of the concept of data engineering • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike • Passion for collaboration, life-long learning, and driving business value through ML & AI • [Preferred] 5+ years customer-facing experience in a pre-sales or post-sales role • Can meet expectations for technical training and role-specific outcomes within 3 months of hire • Fluency in Hebrew and English • Location: Tel Aviv area, with commutable distance to the Databricks office in Herzliya About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

GAQ427R228 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. Databricks Federal supports DOW, IC, federal civilian, and state and local customers. We’re expanding our work across cleared and non-cleared programs and using automation and AI so our security operations scale with the business. As Deputy FSO, you'll partner closely with the Industrial Security Lead on the administration of our security programs including personnel and contract security, security education, and government reporting. You'll also work with teammates across Corporate Operations to build the automated workflows and AI assisted processes that help a small team support a growing workforce. The impact you will have: Administer the Industrial Security and CJIS Programs • Program support: Help the Industrial Security Lead administer the program under 32 CFR Part 117 (NISPOM), including routine contact with DCSA and customer government program security officers. • Clearance lifecycle: Manage collateral clearances and SCI accesses • Compliance and reporting: Manage mandatory reporting across our personnel security programs, and keep our SPP audit ready. • Contract security: Manage DD254s and subdd254 flowdowns, partnering with Legal, Field Engineering, and Sales. Automate and Scale • Automation: Partner with the Industrial Security Lead and Corporate Operations teammates to identify repeatable work across clearance tracking, onboarding and offboarding, training compliance, and contract security, and build automated and AI assisted workflows to handle it. • Data and intake: Manage the security intake queue and its SLAs, and keep DISS, NISS, SWFT, and internal systems sync and audit ready. • Security Education: Develop on demand security awareness training and briefings. • Documentation and metrics: Write SOPs and playbooks, and report program metrics to Databricks Federal leadership. Grow the Program • SCIF: Work with the Industrial Security Lead cross functionally to plan, accredit, and operate the future SCIF. • Civil, state, and local customers: Own our CJIS personnel security program under the FBI CJIS Security Policy and support customer security reviews. How you’ll work: We value how you learn and solve problems as much as what you’ve done • Collaborative: You share context openly and grow your scope alongside the team. • Empathetic and discreet: You handle sensitive matters with care and sound judgement. • Process minded: You simplify and automate outcomes, using AI and workflow tools. • Self directed: You take ownership and stay steady in ambiguity. What we look for: • Clearance: An active U.S. government security clearance (Secret minimum, Top Secret preferred) and eligibility for SCI. • Industrial security foundation: 5+ years in industrial or personnel security at a cleared contractor, government security office, or in the military, with hands-on NISPOM, DCSA, and DD254 experience. 5+ years in industrial or personnel security at a cleared contractor, government security office, or in the military • System fluency: Working experience with DISS-JVS, NISS, SWFT, and NBIS eApp. Nice to have: • SCIF or ICD 705 experience; NIST SP 800-53, FedRAMP, or DoD IL5 familiarity; ISP, PMP, CISSP, or CISM certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $133,700 — $183,800 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(FEQ427R727) The Role We are looking for a creative, execution-oriented Senior Solutions Architect to join the Benelux team to maximise the phenomenal market opportunity that exists for Databricks in the Life Science industry. You will bring experience as an architect on large, complex, multinational accounts, and your mission will be to drive the technical and consumption strategy for one of the world's most notable life science companies. This will be driven in partnership with regional account executives and the global account team. As a Senior Solutions Architect at Databricks, you will come with an informed and compelling point of view on the Data, Analytics and AI space, which will guide your technical strategy and, together with our teams and partners, allow you to provide exceptional value and build lasting trust with executives and technical champions at the account. The Impact You Will Have • Drive the technical and consumption strategy for the organisation's most complex customer engagements, directly influencing platform adoption and revenue growth. • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy. • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale, including GenAI and agentic AI workflows (Agent Bricks, AI Functions, LLMOps). • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team. • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms. • Orchestrate cross-functional teams (Delivery & Specialist SAs, Partners, Product) to deliver enterprise-grade solutions. • Coach and develop junior engineers/architects on technical depth, customer engagement, and use case prioritisation. • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement. What We Look For • 8+ years of experience in a global/cross-region, multi-architect account team, combining solutions architecture, principal engineering, technical pre-sales leadership in a customer-facing capacity. • Strong hands-on technical background and coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform/prototype build during the interview process. • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms. • Expert-level data platform knowledge (either in Databricks or a similar modern data & AI platform with demonstrated rapid learning ability). • Recognised as an expert in technical specialisation — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions. • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy; proven value-based selling and vision-generation skills; ability to lead competitive displacements and complex enterprise evaluations. • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact. Proven track record of driving consumption growth and platform adoption in large accounts. • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued. Nice to Have: • Databricks certifications. • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company, ideally within Healthcare & Life Sciences (HCLS)/Pharma vertical. • Published thought leadership (blogs, conference talks, open source contributions). • Life Sciences industry vertical expertise with executive-level domain credibility, ideally GxP experience in a pharma setting. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R744 Databricks operates at the leading edge of the Data Analytics space with a mission to help companies solve the world’s toughest problems. We’re looking for an Arabic-speaking Business Development Representative to represent Databricks to prospective customers in the Middle East and African market. This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the Senior Sales Development Manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team. This role will be hybrid in our Paris office. The impact you will have: • Rapidly developing your skill-set around value-based selling, big data and AI. • Provide a great customer experience for Databricks’ prospective customers. • Conducting account and prospect research to inform and develop compelling outreach campaigns to drive engagement in key target accounts. • Maintaining active inbound and outbound communications with prospects using creative follow-up, including personalised email, cold calling and social selling. • Partner with the wider sales team to develop territory strategy, build pipeline and drive adoption. • Uncover and identify client needs and progress conversations into sales opportunities through communicating how Databricks will meet them effectively. What we look for: • Prior successful sales experience is a plus, but not necessary • Determination to succeed, learn and build the next best enterprise software company • Consistent, measurable over-achievement in past experiences • Great communication skills, especially listening and questioning in phone-based and in-person scenarios • A genuine interest in big data/AI • Must be fluent in Arabic and English (minimum C1 proficiency in both) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

(FEQ427R544) **Role Summary** As a Field Engineering Manager, you will lead a high-performing team of technical pre-sales Solutions Architects (SAs) dedicated to enterprise Named Accounts across the Benelux region. You will operate at the intersection of deep technology and business strategy, driving platform adoption and enterprise AI initiatives. As a technically credible coach and AI builder, you will spend meaningful time in the field (~30-40%) partnering with customer executives and internal Sales counterparts. You will lead by example to instil an AI-Builder Mindset across your team, establish rigorous operational inspection cadences, coach SAs through complex architecture designs without taking the pen, and decisively build an elite pre-sales organisation. **The Impact You Will Have** • Build & Scale Elite Teams: Hire, mentor, and retain exceptional Solutions Engineers/Architects in the Benelux region, establishing high standards for technical excellence, inclusive leadership, and decisive performance management. • Drive AI Adoption & Capabilities: Lead by example as an AI practitioner, embedding AI tools into team workflows and driving scalable capability across the organisation. • Act as a Customer Advisor: Build trusted relationships with C-level and senior technical executives across customer accounts. Translate complex platform capabilities into measurable business ROI (e.g., predictive maintenance, yield optimisation, supply chain resilience). • Drive Operational Execution: Co-own regional consumption and growth targets with Sales partners. Maintain rigorous inspection cadences across pipeline health, technical validation, and account strategy. • Technically Coach the Field: Serve as an architectural sounding board for your team. Diagnose platform designs, spot failure modes in distributed systems or AI infrastructure, and coach SAs to refine architectures independently. • Expand Benelux Presence: Serve as a key regional leader helping build Databricks' brand and market presence across enterprise accounts. **What We’re Looking For** • Technical Pre-Sales Leadership: Track record of managing or leading technical pre-sales or consulting teams in Cloud Data Platforms, Enterprise Software, or AI/ML ecosystems. • AI-Builder Mindset: Hands-on experience leveraging modern AI tools personally and a demonstrated ability to drive AI capability and productivity across an engineering team. • Domain Credibility: Deep understanding of data challenges within relevant industries. • Customer Advisor Presence: Ability to build direct relationships with VP/C-level stakeholders and frame technical decisions around commercial value and consumption growth. • Architectural Coaching Capability: Hands-on foundation in data engineering, distributed systems, cloud architecture (AWS/Azure/GCP), or enterprise ML/AI pipelines, with the discipline to coach SAs rather than taking over technical delivery. • Execution & Rigour: Experience managing against consumption/usage business models, running structured deal inspection cadences, and redesigning sub-scale operational processes. Basic Qualifications • Experience managing or leading a technical customer-facing team. • Experience partnering with Sales and cross-functional teams through complex, multi-stakeholder customer engagements. • Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain. • Strong written, verbal, presentation, and stakeholder-management skills. • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. **Preferred Qualifications** • Experience with Databricks or comparable data and AI platforms. • Experience building trusted relationships with senior technical and business stakeholders. • Experience using data, automation, or AI-enabled tools to improve team effectiveness. • Experience supporting customers across multiple use cases, technical environments, or business functions. • Fluency/business-level proficiency in Dutch is preferable. #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ327R566 Mission Databricks is seeking a Manager, Marketing Insights Business Partner to serve as the embedded insights partner to the [VP/GM] of EMEA Marketing and their leadership team. This role exists to create leverage: to make marketing performance easier to understand, easier to act on, and easier to improve. Reporting to the Director, Marketing Insights, you will bring analytical rigor and a clear point of view to how EMEA plans, forecasts, measures, and improves its work. Beyond reporting on outcomes, you will produce the forecast leadership plans against, hold visibility into how the work itself is running, and help scope and land the pilots that change how we operate. You will partner closely with Marketing Leadership, Campaign Operations, Marketing Platform & Systems, Sales Operations and Finance. The impact you will have: • Serve as the insights partner to the [VP/GM] of EMEA Marketing and their leadership team, delivering the analysis and narrative required for business reviews, QBRs, and pipeline councils, so that leadership forums produce actionable decisions. • Maintain a single, trusted view of EMEA marketing performance across a consistent framework of marketing motions, standardizing dashboards and reporting inputs so teams work from a consistent read on what is working, what is not, and where risk is emerging. • Support functional target-setting model for EMEA, including program, channel, and product-level contribution, and produce the forecast leadership plans that other teams can rely on. • Maintain the leading-indicator framework for EMEA, identifying the early signals that predict outcome performance, so that intervention happens while the quarter can still change, rather than being diagnosed after it closes. • Translate performance data into insight, implications, and recommended areas of focus tied to internal milestones and supporting cross-functional requirements within regions. • Own execution telemetry for EMEA, maintaining visibility into how marketing work is actually running through cycle times, throughput, intake, and SLA performance to reduce operational friction. • Increase the region's self-sufficiency in accessing and using performance data by driving practical, repeatable adoption of Genie and reducing dependency on central data teams for routine reporting and analysis. • Support pilot execution, defining the hypothesis, success criteria, and measurement approach before launch, and delivering a clear read at the end. • Surface and codify what is already working in one market or motion so that proven approaches can be picked up elsewhere, and instrument them so the gain stays visible after the initial push. • Support the planning cycle with the analytical & programmatic inputs that make investment decisions defensible, including historical performance, efficiency by motion, and target-setting inputs. • Identify analytical and data risks early, including data quality issues, reporting gaps, and system performance outages, so they are surfaced and addressed before they escalate. • Act as the region's voice in the global Marketing Insights function, surfacing regional requirements and gaps so that global frameworks and tooling work in-region rather than requiring local workarounds. Requirements: • 6+ years in GTM strategy and operations, strategy and operations, FP&A, or consulting, ideally in B2B SaaS or enterprise technology. • Strong command of the B2B demand-generation funnel (pipeline, conversion, attribution, channel and program efficiency) and the metrics that connect marketing activity to revenue outcomes. • Experience supporting senior leaders (Director, VP/GM level) in business reviews, QBRs, and planning cycles, with the confidence to bring a clear point of view and not just report numbers. • Proven experience building forecasting and target-setting models (top-down and bottom-up), including leading-indicator frameworks that predict outcomes before a quarter closes. • Demonstrated ability to design and measure pilots: defining hypotheses, success criteria, and measurement approaches up front, and delivering a rigorous end-of-pilot read. • Experience with operational and process analytics (cycle time, throughput, intake, SLA tracking) to identify and reduce friction in how work gets done. • Working knowledge of data quality and governance, with a track record of spotting reporting gaps and data risks early. • Excellent storytelling skills, able to turn complex data into concise insights, implications, and recommendations for executive audiences. • Proven ability to influence and partner across a matrixed organization (Marketing Leadership, Campaign Ops, Marketing Systems, Sales Ops, Finance), with experience driving self-service adoption and enablement. Familiarity with AI-assisted analytics tools (e.g., Genie) is a strong plus. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1324 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines and require speed and reliability. As a software engineer on the Storage and IO team at Databricks, you will be building the next generation of our cloud storage I/O platform supporting fast and reliable reads and writes against cloud storage systems. This specialized and highly optimized platform boosts the performance and reliability of the query processing system so it can outperform even specialized query engines. What we look for: • BS (or higher) in Computer Science, related technical field or equivalent practical experience. • Comfortable working towards a multi-year vision with incremental deliverables. • Motivated by delivering customer value and impact. • 5+ years of production level experience in either Java, Scala or C++. • Experience with low level systems (OS, network stacks, CPU optimizations). • Strong foundation in algorithms and data structures and their real-world use cases. • Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop). About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R684 Databricks operates at the leading edge of the Data and AI space with a mission to help companies solve the world's toughest problems. We are seeking an experienced strategic sales leader to manage and grow our Seoul-based Business Development team and help us expand our South Korean business. Reporting to the Director, Sales Development, you will be an important contributor to our sales leadership team, leading recruiting, pipeline generation/consumption growth strategy, and constructive coaching for our Business Development team members. You will have experience driving pipeline generation, leading sales development teams, and working with sales and marketing teams. The impact you will have: • Take the primary leadership role in building and scaling an outstanding team • Support and shape the strategy for pipeline generation within KR • Create innovative strategies to accelerate new customer acquisition and consumption growth • Manage your team's pipeline target and be active in coaching team members to be successful • Work with cross-functional regional leaders to maximize the contribution of the team • Analyze team performance and funnel data to identify and fix inefficiencies What we look for: • Minimum 2-3 years of experience as a Sales Development manager with consistent overachievement against quota • Experience in a quota-carrying, end-to-end sales role with consistent overachievement against quota • Experience growing a sales development team by recruiting and developing BDRs focused on giving people the training and support that they need to succeed • Expertise in using Salesforce and Outreach.io, additional experience with AI tools will be advantageous • Proficiency in Native Korean and business-level English proficiency required. The role involves regular communication with regional and global stakeholders in English, including meetings, reporting, and written communication. English proficiency may be assessed through the interview process or equivalent evidence such as TOEFL, TOEIC, IELTS, or relevant work experience. • Experienced in sales processes focused on value selling, prospecting, and opportunity qualification • Ability to adapt to a fast-paced environment and lead through ambiguity • Passion for cloud, big data, and AI About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FEQ427R546 You will build and lead a team of Delivery Solution Architects (DSAs) responsible for the post-sales success of Databricks' customers. This is one of the most consequential delivery leadership roles in the company. The customers in your portfolio and your team's work directly determine how quickly Data and AI transform how they do business. As a DSA Manager, you set the technical strategy across your portfolio, decide where to invest your team's capacity, and partner with Sales, Pre-Sales, Professional Services, and our Systems Integrator ecosystem to move use cases from kickoff to production. You are a hands-on technical sponsor and trusted advisor to a select group of customers, including their C-suite. You build the systems, operating cadences, and playbooks that make your team and the broader DSA practice sharper over time. The DSAs you lead are senior technical talent, drawn from principal-level solution architecture, top-tier consulting, or senior engineering backgrounds. Hiring, coaching, and growing this team is the heart of the job. The impact you will have: • Hire, coach, and develop a high-performing DSA team. Own career growth, calibrated performance management, and individual development plans. • Own capacity planning and investment forecasting across the FINS portfolio. Defend investment decisions with data, alongside sales and field leadership. • Partner with Sales, Pre-Sales, Professional Services, and Systems Integrator partners to accelerate use case delivery and reduce customer risk. • Drive measurable customer outcomes: use-case throughput, time-to-production, consumption growth, and renewal rates. Forecast each across your portfolio. • Bring a programmatic approach to running the business. Build the systems, operating cadences, and playbooks that scale the DSA practice. • Shape and promote the value proposition of the DSA role with our internal partners and our customers. What we look for: • 5+ years of experience managing a customer-facing technical team (DSA, Solution Architect, Technical Account Manager, Customer Success Engineer, or equivalent). • Demonstrated leadership of a team of pre-sales or post-sales technical talent. • Track record of putting data and AI workloads into production at scale, e.g., as a delivery architect, project manager, DevOps engineer, or service or product owner. • Conversant with the business problems and Data and AI use cases in financial services (banking, capital markets, insurance, or asset management preferred). • A bias for building systems, not just running them. A bias for growing people, not just managing them. • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1601 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Software Engineering Intern, you will join a team of engineers to build features that contribute directly to the Databricks platform. We're hiring across all of our teams, including full stack, backend, infrastructure, systems, tools, cloud, databases, and customer-facing products. You will have a dedicated mentor and will join our 2027 intern cohort where you'll connect with engineers, other interns, and leaders from across the company. We are hiring Software Engineering Interns across multiple offices. Please apply for the single location that you're the most interested in, and we will discuss more with you as you move through the process. We can only consider one application in 30 days. The impact you will have: • Work with a team to build features for the Databricks platform • Manage your project end-to-end, including design, code, and feedback • Learn about building a platform that scales quickly while maintaining quality and security What we look for: • You will graduate between Autumn 2027 and Summer 2028 with a degree in Computer Science, Engineering, or related subject • You have implementation skills with a general purpose program language, such as Python, Java, or C++ • You have good knowledge of algorithms, data structures, and OOP principles • You are excited to solve ambiguous problems with a collaborative team This is a Summer 12-week internship. Co-ops are only available to students enrolled in a co-op program. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1453 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As an Associate Product Manager, you will join a team that works diligently to understand and solve our customers’ most challenging problems. We're hiring across all of our teams, including AI Platform, Genie, Machine Learning, Unity Catalog, Databricks SQL, ETL, Streaming, and EDA. As part of our 2027 APM cohort, you will have a dedicated manager and mentor as well as connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. We are hiring for Amsterdam, Belgrade and Berlin. The impact you will have: • Deeply understand customer problem space and establish the rails for viable solution space • Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build • Work with engineers and designers to ship features on the Databricks platformWork with a team to build features for the Databricks platform • Own your project end-to-end — design, build, launch, and iterate on feedbackManage your project end-to-end, including design, code, launch and feedback • Build with scale, quality, and security in mind from day oneLearn about building a platform that scales quickly while maintaining quality and security What we look for: • You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in computer science or related engineering practice • Pursuing a bachelor's or master's in computer science or a related engineering field • You've used AI tooling for both personal productivity and development projects • You have some first hand experience with SQL and/or Python • You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer • You use analytical skills to make data-driven decisions (e.g. analyzing product usage) • You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form • You're excited to solve ambiguous problems with a collaborative team • You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

P-1452 At Databricks, we are passionate about helping data teams solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. As a Product Management Intern, you will join a team that works diligently to understand and solve our customers' most challenging problems. You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the important intersection of data and AI. As part of our 2027 intern cohort, you will have a dedicated manager and mentor as well as two mentors and connect with product managers, engineers, designers, account teams, other interns, and leaders from across the company. This is a 12 week paid summer internship program in either Amsterdam, Belgrade or Berlin. The impact you will have: • Deeply understand customer problem space and establish the rails for viable solution space • Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build • Work with engineers and designers to ship features on the Databricks platform • Own your project end-to-end — design, build, launch, and iterate on feedback • Build with scale, quality, and security in mind from day one What we look for: • Pursuing a bachelor's or master's in computer science or a related engineering field graduating between Fall 2027 and Summer 2028 • You've used AI tooling for both personal productivity and development projects • You have some first hand experience with SQL and/or Python • You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer • You use analytical skills to make data-driven decisions (e.g. analyzing product usage) • You can make complex topics simple and communicate nuance to partners (engineers, customers, field) in both written and verbal form • You're excited to solve ambiguous problems with a collaborative team • You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

**CSQ427R238** **Sr. Manager, AI Forward Deployed Engineering (FDE)** **Mission** The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements that help customers build and productionize first-of-its-kind GenAI applications, and we work cross-functionally with AI Product, Research, and Engineering to shape long-term strategic priorities. We are looking for a world-class leader to lead and grow our AI FDE team in India. In this role, you will lead customers on their AI transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key accounts. Candidates should expect to travel at least once a month. You will report directly to our India FDE leader and dotted line to the APJ AI FDE leader. The ideal candidate is based out of Bangalore or Mumbai. Candidates should expect to travel at least once a month. **The impact you will have:** • Lead and scale a high-performing AI forward deployed engineering team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale • Shape cross-functional collaboration by influencing Product, R&D, and GTM, ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy • Develop and expand executive relationships with key customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations • Partner with Field Engineering and Sales leadership to set strategy for strategic accounts and coordinate delivery across functions • Lead strategic AI initiatives, practice development, and scalable delivery processes • Own OKRs for AI-services led accounts, revenue, utilization, and public references • Represent Databricks as a thought leader in AI through conference talks, published content, etc. **What we look for:** • Experience building and managing high-performing teams of AI/ML scientists, engineers, and leaders • Ability to scope, sell, and deliver technical engagements in enterprise environments, including managing escalations and ensuring successful customer outcomes • Strong, current technical depth in AI/ML foundations, with the ability to contribute meaningfully in architecture reviews and the curiosity to stay current as the field evolves • Experience leading teams that have shipped production AI solutions in cloud environments (AWS, Azure, or GCP) • Proven success developing strategy with senior executive stakeholders to define program-level goals, align technical vision, and build trust throughout complex enterprise engagements • Experience driving AI transformation across enterprise customers, spanning applied AI product management, organizational change management, and stakeholder alignment • Experience working across Sales, Product, and GTM to connect AI delivery to business outcomes • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Preferred: • Experience in a customer-facing leadership role • Experience working with Databricks About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

SLSQ427R686 Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As an Strategic Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Banking sector. The impact you will have: • You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Banking segment. • You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals • You will motivate a diverse team of big data and AI professionals to implement your business plan • You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform • You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement • You will build exceptional value with all engagements to guide successful negotiations to close What we look for: • Experience in direct sales of enterprise software platforms to large enterprises • Ownership of executive level relationships in your clients • Proven track record of developing new business • Extensive experience of working with large complex regulated organisations • Knowledge of the Data & AI space with technology sales experience • Longevity with previous employers • Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts • Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams • Methods for co-developing business cases and gaining support from C-level Executives • Familiarity with sales methodologies and process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message) • Experience developing partnerships with "champions" and client teams to support execution of your territory plan • Experience developing a clear partner strategy and implement it to achieve success • Understanding of consumption-based, land and expand sales models advantageous • Understanding of how to identify important uses cases and buying centres to increase the impact of Databricks for clients About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: • Strong years experience in data engineering, data platforms & analytics, or software engineering • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals • Familiarity with CI/CD for production deployments • Working knowledge of MLOps, ML/AI models and AI APIs • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. • Documentation and white-boarding skills. • Experience working with enterprise clients and managing conflicts across a broad stakeholder range • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects. • Travel to customers 20% of the time • Databricks Certification preferred but not essential About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ227R265 The Sr. Engagement Manager delivers measurable impact for our Public Sector customers as well as at the Business Unit (BU) or Regional team level in the Forward Deployed Engineering organization. You will own and independently scope multi-quarter, highly complex initiatives to solve problems with no clear precedent, operating with high autonomy in high-stakes environments. The impact you will have: • Regional Impact: Drive excellence at the BU/Region level, contributing to team-level booking targets and consumption goals. • Complex Problem Solving: Navigate complex regional, regulatory, or market-specific complexities across multiple countries. • Mentorship: Coach and support junior Engagement Managers, acting as a go-to resource for peers on complex projects. • Sales Strategy: Shape account strategy to align with client goals and lead the sales of complex Professional Services & Training (PS&T) offerings. • Strategic Relationships: Establish and maintain strategic relationships with senior customer stakeholders across multiple engagements. What we look for: • 10+ years of leadership experience in Professional Services. • Expert-level understanding of PS&T offerings and the ability to customize solutions for complex environments. • Proficient thought leadership, increasingly viewed as an external expert in the industry. • Participate in the hiring process to attract top-tier talent. • Expertise in Databricks architecture, ecosystem, and strategic account planning. • Ability to travel up to 25-50% as required. • Active high-level clearance Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $130,300 — $179,200 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R299 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: • 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management including account, stakeholder and resource management accountability • Experience resolving complex and important escalation with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $180,000 — $247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

ReqID: FEQ427R340 Location: London Skills: Networking, Security, Platform, DevOps, Databricks, Cloud - AWS, GCP, Azure, Infrastructure - First preference would be GCP experience Recruiter: Dina Hussain The Role As an Infrastructure & Platform Senior Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on their cloud of choice (AWS, Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. The Impact You Will Have • Guide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design to production deployment • Architect secure, scalable enterprise deployments that satisfy complex cloud networking (virtual networks, private connectivity), identity (cloud IAM and enterprise identity providers), and security compliance standards • Serve as a subject matter expert in core areas such as cloud infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management • Drive technical wins in competitive scenarios by demonstrating Databricks' differentiation through custom-built solutions • Orchestrate cross-functional resources (DSAs, SAs, FDE, Partners) to deliver comprehensive solutions for complex customer needs • Influence product direction by providing structured feedback on customer requirements and competitive gaps What We Look For • 8+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Advanced expertise across the following areas: • Security & Identity: Cloud security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols. This includes cloud-native IAM (AWS IAM, Microsoft Entra ID / Azure AD, Google Cloud IAM), enterprise identity services (AWS IAM Identity Center, Entra ID, Google Cloud Identity), and federation standards (SCIM, OAuth, SAML, OIDC) • Networking & Deployments: Enterprise cloud networking (VPC/VNet design and peering, dedicated interconnects such as AWS Direct Connect / Azure ExpressRoute / Google Cloud Interconnect, and private connectivity such as AWS PrivateLink / Azure Private Link / GCP Private Service Connect), network routing, performance optimisation, and large-scale deployment management • Platform Administration: High availability, disaster recovery, cluster orchestration, observability and audit (e.g. Amazon CloudWatch / CloudTrail, Azure Monitor, Google Cloud Operations Suite), and cloud cost management • Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g. Terraform, plus cloud-native tooling such as AWS CloudFormation / CDK, Azure Resource Manager / Bicep, or Google Cloud Deployment Manager) to build, maintain, and scale complex cloud environments • Strong coding proficiency in Python and SQL: you must demonstrate live coding, debugging, and solution-building skills • Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficient in the Databricks Platform • Proven ability to lead architecture discussions with senior technical stakeholders: whiteboarding, design reviews, and trade-off analysis • Track record of driving platform adoption and consumption growth within accounts • Coach and develop other team members on technical depth, customer engagement, and use case prioritisation • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement • Excellent communication skills: able to translate complex architectures into business value for both technical and executive audiences • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience) • Willingness to travel up to 30% as needed Nice to Have: • Databricks certifications • Cloud provider certifications at professional level (e.g. AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer; Azure Solutions Architect Expert; Google Professional Cloud Architect) • Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position against • Background in a data/AI company or cloud provider About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R440 The Databricks Customer Enablement team is on a mission to upskill data and AI professionals in customer organizations so they can use Databricks effectively and accelerate customer success. As a Customer Enablement Architect, you will design and lead customer enablement and talent-transformation programs across Australia and New Zealand. You will partner with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend the right learning solutions, and ensure successful execution. You will balance strategic customer engagement with program and commercial execution across training bookings, revenue, learners, credentials, and adoption. You will bring enough technical depth to understand Databricks curriculum and certifications, make credible recommendations, and engage confidently with technical stakeholders—without being expected to deliver deep hands-on technical training. **The impact you will have** • Work with regional Go-to-Market teams to create enablement strategies aligned to customer segment, business priorities, technical maturity, and talent-transformation goals. • Translate customer outcomes into practical learning plans, capability roadmaps, and recommendations across free and paid training, instructor-led and self-paced learning, credentials, and partner delivery. • Partner with global Delivery and Operations teams to coordinate scheduling, communications, program quality, and seamless execution of customer development plans. • Manage and report weekly, monthly, and quarterly performance across training bookings, revenue, learners, credentials, and adoption; use insights to guide action from field teams. • Serve as the voice of the customer for regional enablement, curriculum, and certification priorities, while engaging senior leaders and executives internally and externally. • Identify capability gaps that may affect platform adoption and work with account teams on targeted interventions, including contextual or just-in-time enablement where it improves customer outcomes. **Technical context you will support** You will help customers build capability across areas such as: • Lakehouse architecture, data engineering, ETL, data governance, and data quality • Databricks training, certifications, and foundational onboarding experiences • Generative AI, agentic workflows, Databricks Apps, Genie, and Lakeflow • Translating technical adoption needs into accessible enablement and talent-transformation programs You do not need to be a principal engineer. You should be able to hold a credible technical conversation, understand curriculum and certification requirements, and recommend the right enablement path. Experience creating a prototype, automation, or technical tool is valuable but not required. **What we look for** • 5+ years of demonstrated experience in Customer Enablement, Talent Transformation, Training, Customer Success, Consulting, or managing a book of business. • Hands-on Builder Mindset: A non-negotiable track record of personally designing, building, and deploying working prototypes, automation tools, or technical apps. • Experience creating and leading enablement programs in partnership with Sales and technical teams to deliver customer outcomes. • Experience in Big Data, AI, Data Science, cloud platforms, or enterprise technology, with the ability to understand technical curricula and certifications. • Strong customer and executive engagement skills, including discovery, stakeholder management, presentation, facilitation, and navigating ambiguity. • Commercial & Business Insight: Ability to connect technical skill outcomes to core P&L levers, influence renewals/expansions, and collaborate effectively with sales on strategic account planning. • Experience operating across ANZ markets, strong operational discipline, and willingness to travel as needed • Experience with technical solutioning or building tools is a plus. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R262 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect (Sr. DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Manager. The impact you will have: • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: • 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management including account, stakeholder and resource management accountability • Experience resolving complex and important escalation with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Req ID: CSQ327R200 Location: Tokyo, Japan Senior Scale Solution Engineer At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: • You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. • You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. • You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: • Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. • Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. • 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. • Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. • Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. • Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. • Excellent time management and prioritization skills. • Excellent written and verbal communication in Korean and English • Nice to have: Databricks Certification • Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

CSQ427R262 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect (Sr. DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a Field Engineering Manager. The impact you will have: • Engage with Solutions Architects to understand the full use case demand plan for prioritised customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: • 8+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers • Programming experience in Python, SQL or Scala • Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role • Understanding of solution architecture related distributed data systems • Understanding of how to attribute business value and outcomes to specific project deliverables • Technical program, or project management including account, stakeholder and resource management accountability • Experience resolving complex and important escalation with senior customer executives • Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects • Track record of overachievement against quota, Goals or similar objective targets • Proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions. • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience • Can travel up to 30% when needed About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.