Databricks

Sales professional experienced in leading go-to-market campaigns in Fortune 500 accounts, supporting Microsoft. Drives value-based growth within enterprise clients, expanding Databricks' footprint in Big Data, Advanced Analytics, and AI.

This role is for a Data & AI Platform Architect within Databricks' Professional Services team. The primary focus is on customer engagements to help them leverage the Databricks platform for big data and AI initiatives. Responsibilities include designing and building reference architectures, productionalizing use cases, and providing technical consulting for data engineering, data science, and cloud projects. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on successful customer adoption and project delivery.

This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data.

This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data.

Product Marketing Director for Databricks' new native application, Lakewatch, an agentic SIEM for cybersecurity, governance, and risk teams. The role focuses on defining and executing the go-to-market strategy, driving adoption, establishing market leadership, and improving sales effectiveness.

This role focuses on developing and scaling Go-To-Market (GTM) strategies and enablement for new Databricks product categories, particularly in agentic AI infrastructure and cybersecurity. The individual will build and ship AI-powered enablement tools, design demo environments, and establish feedback loops between Product/Engineering and the field. The role requires a builder mentality, strong product instinct, and the ability to create scalable, multi-format enablement programs.

This role is a Sr. Delivery Solutions Architect focused on AI-native customers using the Databricks platform. It's a hybrid technical and commercial role responsible for post-sale technical strategy, execution, and driving customer success and adoption of Databricks workloads. The architect acts as the technical lead, resolving issues, coordinating resources, and developing execution plans to accelerate use cases into production.

Solutions Architect role focused on guiding 'AI native' customers in leveraging the Databricks platform for data engineering, data science, and machine learning workflows. Involves consulting on architectures, implementing proof-of-concepts, and collaborating with sales and product teams. Requires expertise in distributed data systems, Python/SQL, and cloud providers, with a strong preference for data engineering or ML technologies.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to address big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating systems, and providing technical guidance for customer adoption. The role involves end-to-end design, build, and deployment of big data and AI applications, offering escalated support, and providing product feedback. Requires 8+ years of experience in Big Data technologies, Python/Scala coding, technical project delivery, and client management.

This role is for a Sr. Manager, Field Engineering focused on the Public Sector (SLED) segment. The primary responsibility is to lead and grow a team of Solutions Architects, partnering with Sales to drive revenue and ensure customer success with Databricks' offerings, including generative AI. The role requires strong leadership, technical sales experience, and the ability to build and maintain a high-performing technical team.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform within the healthcare and life sciences domain. The Delivery Solutions Architect will act as the post-sale technical lead, guiding customers through onboarding, enablement, and successful consumption of Databricks workloads, ensuring they maximize value and ROI. The role involves engaging with sales and field engineering, managing technical account strategy, resolving technical issues, and coordinating with internal teams and professional services.

Databricks is seeking a senior executive to lead their Manufacturing and Automotive industry go-to-market (GTM) strategy across APJ. This role focuses on driving pipeline growth and customer adoption by leveraging data and AI to redefine how physical products are built, delivered, and optimized. The ideal candidate will have deep industry domain knowledge, experience in enterprise technology GTM, and a strong understanding of the AI landscape's application in manufacturing.

Senior Solutions Architect at Databricks, focusing on establishing the Databricks Data & AI platform for strategic new engagements in the Nordics. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on data engineering, data warehousing, and GenAI expertise.

This role focuses on applying AI and cybersecurity expertise to design and implement customer-facing security solutions, specifically within the Lakewatch product line. The Solutions Architect will guide strategic customers, drive product adoption, and influence the product roadmap by translating field insights into recommendations for Product and Engineering teams. Key responsibilities include technical leadership, engagement strategy, enabling clients through workshops and POCs, and acting as a tier-3 escalation point for complex technical challenges.

This role is for an Industry Lead Solutions Architect in Financial Services at Databricks. The primary focus is on defining and executing industry strategy, creating domain-specific assets, driving joint GTM strategy with partners, and engaging with customers to advise on how Databricks solves their challenges. The role involves guiding customers through the use case lifecycle and enabling field teams and partners. While Databricks is an AI company and the role involves positioning Databricks' capabilities, the core function is not building or directly shipping AI/ML models but rather enabling the go-to-market strategy and customer adoption of existing solutions, including AI-powered ones.

This role is a "product manager for the field" within Databricks' new Forward Deployed Engineering (FDE) team. The Deployment Strategist will partner with sales and engineering to understand customer business problems, scope AI solutions (MVPs), define requirements (PRDs), manage project execution, and ensure successful adoption and value realization. The role focuses on the non-technical lifecycle of AI engagements, bridging C-suite business needs with Databricks' technical capabilities to deliver production-ready AI outcomes.

Databricks is seeking a Strategic Hunter Account Executive for their Lakebase offering, a fully-managed Postgres solution for intelligent applications. This role involves driving adoption, identifying and closing opportunities, and partnering with regional Account Executives to modernize customers' operational data foundations. The focus is on selling the value of managed Postgres for AI-driven experiences and complex sales cycles.

This role is for a Named Core Account Executive in the Manufacturing sector, focusing on selling Databricks' Data and AI solutions to enterprise clients in France. The primary responsibility is to drive revenue growth and platform consumption by developing strategic account plans, influencing C-level stakeholders, and identifying high-value use cases. The role requires a proven track record in selling Data & AI solutions, complex cloud-based offerings, and navigating large enterprise deals.

This role focuses on building and maintaining infrastructure and backend services for Databricks Labs, integrating AI capabilities into production systems. It involves extending the Databricks platform, supporting tooling efforts, and ensuring reliability and observability of these systems.

This role is for a Sr. Solutions Architect at Databricks who will act as a technical advisor to the sales team and advocate for customers. The primary focus is on helping customers leverage the Databricks Lakehouse Platform for data engineering, data science, and machine learning projects, and integrating it into their enterprise ecosystem. The role involves consulting on Big Data architectures, implementing proof of concepts, and collaborating with product and engineering teams to influence the platform's roadmap. Experience with Big Data technologies, cloud platforms, and coding in Python/Spark is required.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The primary responsibilities involve data engineering, data science, and cloud technology projects, including building reference architectures, MVPs, and guiding customers through big data and AI application implementations. The role requires strong technical skills in SQL, Python/Scala, cloud ecosystems, and DevOps, with a focus on customer success and technical project delivery.

This role is a Go-to-Market Leader for the Retail & Consumer Goods sector in APAC, responsible for architecting and executing a strategy to drive adoption of Databricks' Data and AI platform. The leader will build relationships, identify opportunities, develop partnerships, and influence product direction to accelerate revenue growth and transform customer operations.

Databricks is seeking a Head of Marketing for Japan to lead the country's marketing strategy, focusing on accelerating category leadership, pipeline growth, and customer adoption. This role requires a strategic, commercially-minded leader to partner with sales and other functions, develop integrated marketing plans, and champion modern, AI-enabled marketing practices. The ideal candidate has 15+ years of marketing leadership experience in enterprise technology, proven success in the Japanese market, and a strong understanding of AI's impact on marketing.

This role is a Delivery Solutions Architect for Financial Services at Databricks. The primary focus is on accelerating customer adoption and maximizing the value they get from the Databricks platform post-sale. It involves a hybrid technical and commercial approach, acting as the post-sale technical lead, driving customer success, and managing technical account strategy and execution. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills.

This role is for a Senior Engineering Manager at Databricks to lead a team responsible for the Intelligence and Economics of their infrastructure. The focus is on building a governance and efficiency layer to optimize costs in a multi-cloud environment, particularly for Generative AI and Serverless technologies. The mission is to evolve from cost reporting to Autonomous Governance, managing, enforcing, and optimizing resources globally.

Global Account Manager for Databricks in the Pharmaceutical Industry, responsible for driving strategic relationships, adoption, and expansion of Databricks solutions. Focuses on understanding business needs, leveraging technology for impactful solutions, and shaping account strategy for enterprise-wide transformation using the Databricks Data Intelligence Platform.

Chief of Staff to the CPO at Databricks, focusing on operational excellence and strategic alignment within the People organization. This role will support the transformation of the People organization into an AI-first function, identifying opportunities to leverage AI for automation, insights, and improved decision-making.

Product Marketing Manager for Databricks' agentic AI products (Genie), focusing on messaging, content, and GTM strategies for business and technical buyers in the enterprise market. Requires experience marketing Data & AI products and translating complex AI capabilities into clear narratives.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on helping clients solve big data challenges using the Databricks platform. The architect will provide expertise in data engineering, data science, and cloud technologies, guiding customers through the design, build, and deployment of big data and AI applications. The role involves customer-facing engagements, technical project delivery, and providing escalated support, with a focus on enabling customers to maximize value from their data.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the role involves working with AI applications and MLOps, its core function is in data engineering and platform integration rather than direct AI/ML model development.

This role is for a Big Data Solutions Architect on the Professional Services team, working with clients on short to medium-term engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. The role involves consulting on architecture and design, bootstrapping or implementing customer projects, and providing escalated support for operational issues. It requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering value to customers through the Databricks platform.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

This role is a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will handle technical projects including designing and building reference architectures, creating how-to's, and productionalizing customer use cases. They will guide customers in implementing big data and AI applications, consult on architecture and design, and provide escalated support. The role requires strong experience in data engineering, data platforms, analytics, cloud ecosystems, and distributed computing with Apache Spark. MLOps knowledge and experience with CI/CD for production deployments are also required. A US Top Secret Clearance is mandatory.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, designing and building reference architectures, and guiding customers in implementing big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer consultation. A U.S. Top Secret clearance is required.

Product Marketing Director for Databricks AI, focusing on Agent Bricks and core ML products. Responsibilities include leading marketing strategy, driving AI adoption, enabling sales and partners, generating pipeline, and fostering developer adoption. This role translates product innovation into market narratives, content, campaigns, and launches, while building partnerships with product and engineering teams and scaling the business globally. The role also involves building trust with customers and sharing their agentic AI stories.

This role is for a Sr. Manager, Solutions Architecture within Databricks' Field Engineering team, focusing on the Retail vertical. The manager will lead and promote a team of Solution Architects who focus on enterprise software, big data/analytics, data engineering, and data science. The role involves partnering with sales to increase revenue and ensure customer success, scaling and maintaining an outstanding Field Engineering team, and keeping the team ahead of the technical curve in Data + AI. The ideal candidate has extensive experience in the data space, architecting data-driven solutions for major accounts, and leading technical pre-sales teams.

This role is for a Senior Solutions Architect at Databricks, focusing on the Utilities/Energy sector in London. The primary responsibility is to advise complex customers on adopting the Databricks Data Intelligence Platform, acting as a trusted advisor and technical expert. The role involves developing customer engagement strategies, coaching account teams, influencing stakeholders, and contributing to the technical community through collateral and workshops. A technical background in Data Engineering, DWH, or ML/AI is required, along with a builder mindset for prototyping and creating tailored solutions. Experience with public cloud platforms (AWS, Azure, Google) and coding in Python or SQL is also necessary.

This role is a Sr. Solutions Engineer focused on pre-sales for large enterprise accounts in the manufacturing sector. The primary responsibility is to define and lead the technical strategy for these accounts, driving wider and deeper adoption of Databricks' ML & AI products. While the role is technical and requires understanding ML/AI applications, the core function is sales enablement and technical account management, not direct ML model development or deployment.

This role focuses on securing enterprise applications, integrations, and data flows, with an emphasis on AI-adjacent use cases, modern access patterns, and cross-system security. The engineer will identify risk, define security requirements, and improve security outcomes through technical judgment and cross-functional partnerships, supporting the secure adoption of SaaS, internal platforms, automation, and AI-connected systems.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team. The architect will work with clients on big data challenges using the Databricks platform, focusing on data engineering, data science, and cloud technology projects. Responsibilities include designing and building reference architectures, guiding customers in implementing big data and AI applications, and providing technical support. The role requires experience in data engineering, Python/Scala coding, cloud ecosystems, Apache Spark, and MLOps.

This Solutions Architect role at Databricks focuses on applying broad technical expertise across the data platform, including data science, machine learning, and business intelligence, with a deep focus on data warehousing and data engineering. The role involves designing and implementing complex, end-to-end modern data architectures, building scalable data warehouses, and robust data ingestion pipelines. It also includes engaging with clients in technical sales, authoring reference architectures, and guiding customers on the adoption of the Databricks Data Intelligence Platform.

Delivery Solutions Architect at Databricks responsible for accelerating customer adoption and growth of the Databricks platform, focusing on post-sale technical leadership and ensuring customer success with Databricks workloads.

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, partnering with sales to help customers understand how Databricks can solve business problems. This role involves providing technical leadership, consulting on big data architecture, executing proof of concepts, building reference architectures, and promoting open-source projects. The role requires experience in customer-facing pre-sales or consulting, designing distributed data systems, programming in Python, SQL, Scala, Java, or R, and experience with public cloud providers and data engineering/warehousing technologies.