Databricks
Data AI · Lakehouse
- HQ
- San Francisco, US
- Founded
- 2013
- Size
- 8,000+
- Website
- databricks.com
- Blog
- databricks.com
Products
Competitors
- Scale AI · Data AI
Databricks currently has 122 active AI-related job listings. The majority of these roles are focused on agents, accounting for 37% of the total, followed by serving infrastructure at 25% and application at 24%. Engineering is the dominant function, with 106 listings. The company is primarily hiring in the United States, with 80 roles, and India, with 12 roles. Frequent technology tags include model serving, agent orchestration, and inference infrastructure. In the last 30 days, Databricks has posted 25 new AI roles, representing a 39% increase compared to the previous 30-day period.
Data AI · Lakehouse
Currently tracking 70 active AI roles, with 152 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
Databricks currently has 131 active AI-related roles in our index. The most common open titles are: AI Engineer - FDE (Forward Deployed Engineer) (10), Resident Solutions Architect - Financial Services (8), Senior Solutions Architect - Lakewatch (5), Staff Backend Software Engineer- (AI Platform) (4), Data & AI Platform Architect (Professional Services) (3). Most positions are in Engineering and Product.
Databricks's active AI hiring is concentrated in: agents (39%), serving infrastructure (24%), application (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Databricks is hiring AI talent in: United States (83 roles), India (12 roles), United Kingdom (8 roles), Germany (5 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Databricks has posted 26 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Sr. Product Designer, AI/BI Product Designer focused on AI/BI experiences at Databricks, aiming to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable. The role involves designing how humans and AI collaborate, shaping user interactions for data exploration, insight generation, and decision-making within enterprise software. Requires 5+ years of experience, a strong portfolio, and the ability to lead complex design projects. | — | 5 |
| Sr. Product Designer, AI/BI Product Designer focused on AI/BI experiences, responsible for designing how humans and AI think together, making advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. The role involves reimagining data exploration with natural language and AI assistance, designing transparent and trustworthy AI-generated insights, and creating experiences that move from exploration to validation to action. | — | 5 |
| Sr. Solutions Architect - Lakebase This role is a Sr. Solutions Architect for Databricks' Lakebase product line, focusing on integrating transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. The role involves pre-sales, client engagement, technical expertise, and influencing product roadmaps. While the role operates within an AI company and interacts with AI ecosystems, its core function is not building or researching AI models, but rather architecting solutions that leverage existing data and AI platforms. | — | 5 |
| Sr. Solutions Architect This role is for a Sr. Solutions Architect at Databricks, focusing on pre-sales for large enterprise accounts. The primary goal is to drive the adoption of Databricks' ML & AI products by defining technical strategies, building proof-of-concepts, and acting as a technical partner to customers. While the role involves demonstrating and explaining ML & AI applications, the core function is sales enablement and technical strategy within the enterprise AI domain, rather than direct AI model development or research. | — | 5 |
| Sr. Manager, Finance PMO & Operations This role is for a Senior Manager, Finance PMO & Operations with a focus on FP&A at Databricks. The individual will drive organization, transformation, innovation, and operational efficiency across global Finance teams. Key responsibilities include project and program management, OKR setting, process optimization, transformation roadmaps, and organizational management. The role will also involve leveraging AI and emerging technologies to improve Finance workflows and enable smarter decision-making, predictive insights, and scalable automation. Experience with AI/automation tools in Finance is required. | — | 5 |
| Sr. Product Marketing Manager, Lakebase Product Marketing Manager for Databricks Lakebase, focusing on data-native applications that combine transactional data, analytics, and AI. The role involves owning messaging, content, and go-to-market strategies for application developers and database owners, working closely with product, engineering, and field teams. | — | 5 |
| Staff Product Manager - Technical Technical Product Manager to shape Databricks' OLTP Databases or Data Governance capabilities, focusing on performance, reliability, scalability, and compliance, including enabling governed access for AI agents. | — | 5 |
| Field CTO - America Industries Field CTO for Americas Industries at Databricks, focusing on driving data and AI strategy and business transformation for strategic accounts in regulated industries. This role involves building C-level relationships, shaping executive thinking on modern data and AI architectures (especially Lakehouse and Gen AI impact), leading technical discussions, and generalizing field patterns into reusable assets. The role also involves orchestrating the ecosystem, partnering with sales teams, providing customer feedback to product/engineering, and mentoring field talent. | — | 5 |
| Sr. Program Manager, Data for Good This role leads Databricks' social impact initiative, 'Databricks for Good,' focusing on designing and scaling programs that apply data and AI to global challenges. The Program Manager will be responsible for setting the vision, executing partnerships, creating content, and representing the initiative publicly, working closely with internal teams and external non-profits, universities, and public-interest organizations. | — | 5 |
| Sr. Program Manager, Data for Good This role leads Databricks' social impact initiative, "Databricks for Good," focusing on designing and scaling programs that apply data and AI to real-world challenges for nonprofits, universities, and public-interest organizations. Responsibilities include program design and management, storytelling, public-facing representation, partnership funnel ownership, content creation, cross-functional collaboration, and acting as an internal advisor on social impact use cases. The goal is to establish Databricks for Good as a credible and scalable social impact initiative, enabling organizations to leverage data and AI for societal benefit. | — | 5 |
| Sr. Product Manager - Technical This role is for a Sr. Technical Product Manager at Databricks, focusing on either OLTP Databases or Data Governance. The candidate will work with engineering and field teams to define product roadmaps, identify improvements, and ensure features deliver outstanding user experiences. For the governance focus, a key responsibility is enabling secure and compliant access for AI agents to the Databricks Data Intelligence Platform. The role requires a strong technical background, empathy for customers, domain expertise, Python/SQL skills, and experience with systems design and architecture. Experience with AI-assisted development tools is mentioned. | — | 5 |
| Staff Software Engineer - Fullstack (NYC) Staff Software Engineer for a new, founding team in NYC focused on building vertical AI applications leveraging Databricks. The role involves creating user interfaces for GenAI agents and complex data visualizations, with a UI-first and GenAI-first approach. Requires extensive full-stack experience. | Agent | 5 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to help them leverage the Databricks platform for big data and AI challenges. Responsibilities include designing and building reference architectures, productionalizing use cases, and guiding customers in implementing transformational projects. The role requires strong data engineering, data science, and cloud expertise, with experience in distributed computing (Spark) and MLOps. | — | 5 |
| Resident Solutions Architect - Communications, Media, Entertainment & Games 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. | — | 5 |
| Sr. Resident Solutions Architect This role is for a Sr. Resident Solutions Architect on the Professional Services team, focusing on helping clients with big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating with client systems, and providing technical guidance for customer engagements. The role involves designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the company is in the AI space and the role touches on AI applications, the core function is big data solutions architecture and professional services, not direct AI/ML model development or research. | — | 5 |
| Sr. Product Manager, Databricks Repos Product Manager for Databricks Repos, focusing on the source control and workflow foundation for data and AI teams. The role involves driving the vision and roadmap for developer experience, integrating with Git providers, and building AI-assisted code management features to simplify authoring to production journeys for data and AI applications. | — | 5 |
| Solutions Architect Solutions Architect role focused on pre-sales for Databricks' data and AI platform, helping large enterprises adopt ML & AI solutions. The role involves defining technical strategy, leading customer transformations, and building technical champions within accounts, requiring a strong understanding of ML & AI applications in High Tech and Manufacturing. | — | 5 |
| Solutions Architect - High-Tech MFG Solutions Architect for Databricks, focusing on pre-sales and technical strategy for large enterprise accounts in High Tech and Manufacturing. The role involves driving adoption of Databricks' ML & AI products, working with sales teams, and understanding the relevance of ML & AI use cases. Requires technical depth in big data, data science, and cloud, with programming experience. | — | 5 |
| Director, Engineering Governance- Bellevue, WA Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their products and infrastructure. This role involves leading a team of senior security engineers, designing governance frameworks, and ensuring secure and compliant product development in a rapidly growing, multi-cloud environment. The focus is on embedding security and privacy into engineering workflows, establishing incident learning processes, building a security champions network, and ensuring responsible data use across AI/ML systems. | — | 5 |
| Director, Engineering Governance- Mountain View, CA Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their Lakehouse Platform. This role involves designing engineering platforms, guardrails, and operating models to ensure secure and compliant product development. The Director will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape foundational governance systems, with a focus on data governance for AI/ML systems and developer-centric security enablement. | — | 5 |
| Sr. Staff Software Engineer - Money Team Sr. Staff Software Engineer on the Money team at Databricks, focused on building and managing billing, usage, pricing, and cost optimization systems. The role involves leveraging Databricks' Data + AI platform and using AI/LLMs for cost insights and optimization. | Ship | 5 |
| Senior Organizational Development Manager This role focuses on organizational development and designing structures for human-AI collaboration within an AI-first company. It involves creating strategies for interviewer enablement, career frameworks, and optimizing hiring processes, with a strong emphasis on understanding and adapting to the impact of AI on job roles and workflows. | — | 5 |
| Sr. Product Manager, Databricks Free Edition Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. Collaborates with cross-functional teams, partners with academic institutions, and gathers user insights to drive product improvements. Defines success metrics for learning engagement. | — | 5 |
| Senior Software Engineer (Backend) - AI/ML Environments Backend Senior Software Engineer for Databricks' AI/ML Environments team, focusing on building the infrastructure for AI training and serving environments. The role involves collaborating with other AI infrastructure teams, interacting with customers and product managers, and shaping how developers interact with AI on Databricks. | Serve | 5 |
| Staff Fullstack Engineer, Agentic Applications Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on defining technical roadmaps, system design, and engineering leadership. | Agent | 5 |
| Sr. Staff Fullstack Engineer, Agentic Applications Senior Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on technical leadership, roadmap definition, and engineering excellence within the Enterprise Applications team at Databricks. | Agent | 5 |
| Solutions Architect - Healthcare/Life Sciences Team (HLS) Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space. | Ship | 5 |
| Sr. Solutions Architect, Retail Pre-sales Solutions Architect for Databricks in the Retail and CPG sector, focusing on driving customer adoption of ML & AI solutions and becoming data-driven. The role involves technical strategy, value selling, and technical account management, working closely with Account Executives and hands-on resources. | — | 5 |
| Sr. Staff Software Engineer - Data Platform Databricks is seeking a Sr. Staff Software Engineer to join their Data Platform organization. This role will leverage AI developer tools and techniques to build the Data Intelligence Platform, automating decision-making across Databricks. The engineer will define the future of tools spanning logging, orchestration, data transformation, metric store, governance, and data consumption. Responsibilities include designing and running the Data Intelligence Platform, developing tooling for Databricks on Databricks at scale, partnering with tech leaders, acting as customer 0, and representing Databricks at conferences. The ideal candidate has 15+ years of experience in large-scale distributed systems, 6+ years of technical leadership in production data systems, and experience with performance-sensitive systems. | — | 5 |
| Sr. Solutions Architect - Public Sector (Federal Civilian) Solutions Architect role at Databricks focused on leading the adoption of the Databricks Unified Analytics Platform. This customer-facing role involves partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts for data science and ML projects, and building reference architectures. The role also involves promoting open-source projects like Spark, MLflow, and Delta Lake. Requires experience in distributed data systems, programming in Python/Scala/Java/R/SQL, and supporting Public Sector clients. Experience with cloud providers (AWS, Azure, GCP) and Data Engineering technologies is expected. | — | 5 |
| Solutions Architect - Healthcare/Life Sciences Team (HLS) Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space. | Ship | 5 |
| Senior Software Engineer - Money Team Senior Software Engineer on the Money team at Databricks, focusing on billing, usage ingestion, metering, pricing, and cost optimization. The role involves using Databricks Data + AI tools, including AI and LLMs, to innovate in cost insights and optimization, and to commercialize Databricks products. | Ship | 5 |
| Sr. Product Manager, DBSQL Product Manager for Databricks SQL (DBSQL), a next-generation AI-powered cloud data warehousing product. The role focuses on driving innovation, shaping the roadmap, and leading DBSQL's growth by defining product vision, strategy, and roadmap, working with engineering, design, sales, and marketing, and engaging with customers. Requires 5+ years of PM experience, understanding of SQL, data warehousing, BI, and analytics use cases. | — | 5 |
| Senior Staff Software Engineer - App and Partner Ecosystem This role focuses on building and defining the ecosystem strategy for Databricks' Data Intelligence Platform, enabling partners and developers to integrate and scale applications. It involves developing frameworks, APIs, and tools to enhance customer integration of AI and data capabilities, and collaborating cross-functionally to align technical roadmaps with business goals. | — | 5 |
| Senior Software Engineer - Fullstack Senior Full-Stack Software Engineer to join a team building a GenAI observability and quality product. The role involves full-stack development, UI/UX design, backend API development, collaboration, and performance optimization. The product provides advanced monitoring and insights for GenAI systems, using technologies like AutoML/AutoRag, LLM fine-tuning, and Prompt Optimization. | — | 5 |
| Sr. Product Manager, Data Governance Sr. Product Manager for Unity Catalog, a metadata and governance foundation for the Databricks Lakehouse. The role involves defining and launching new governance and security capabilities, building platform services for data & AI product teams, and driving features from ideation to launch with a focus on customer adoption and market insights. | — | 5 |
| Delivery Solutions Architect - Communications, Media & Entertainment Delivery Solutions Architect for Databricks, focusing on accelerating customer adoption and maximizing value from the Databricks Data Intelligence Platform. This hybrid technical and commercial role involves leading post-sale technical strategy, acting as the primary technical contact for complex customers, and coordinating with internal teams to ensure successful onboarding, enablement, and consumption of Databricks workloads. Requires strong technical credibility, project management, and stakeholder management skills. | — | 5 |
| Staff Designated Support Engineer Staff Designated Support Engineer role focused on providing specialized support and technical solutions for Databricks' largest customers. Responsibilities include advanced troubleshooting of Spark, SQL, Delta, Streaming, and Databricks runtime features, building POCs for AI/ML capabilities, developing playbooks, and training customer teams. Requires deep expertise in Big Data, Spark, ML/AI ecosystems, cloud platforms, and customer-facing experience. | Serve | 5 |
| Senior Manager, Infrastructure Data Science Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment. | Serve | 5 |
| Senior Manager, Infrastructure Data Science Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment. | Serve | 5 |
| Sr. Product Manager, Databricks Free Edition Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. The role involves shaping strategy, collaborating with cross-functional teams, and understanding user needs to drive product improvements. | — | 5 |
| Sr. Solutions Engineer, Retail - CPG Pre-sales Solutions Engineer for Databricks, focusing on the Retail and CPG sector. The role involves defining and directing technical strategy for enterprise accounts, driving adoption of ML & AI, and acting as the main technical voice for clients. Requires strong background in value selling, technical account management, and understanding ML & AI use cases. | — | 5 |
| Staff Software Engineer - Money Team Databricks is seeking a Staff Software Engineer for their Money Team to work on billing, usage data, and cost optimization tools. The role involves designing and managing systems for commercializing Databricks products, developing pricing strategies, and enhancing engineering efficiency. A key aspect is using AI and LLMs for cost insights and optimization, leveraging the Databricks Data + AI platform. | Ship | 5 |
| Staff Data Scientist - Infrastructure Databricks is seeking a Staff Data Scientist to join their Data Team, focusing on building data-driven products and tooling to inform decision-making and integrate with their core platform. The role involves applying Data Science/ML in production, collaborating with stakeholders, and mentoring junior scientists. | Data | 5 |
| Solutions Architect, Retail - CPG Solutions Architect for Databricks in the Retail/CPG sector, focusing on pre-sales and technical strategy to drive ML & AI adoption within large enterprises. The role involves leading technical strategy, building customer relationships, and understanding ML/AI use cases to promote Databricks products. | — | 5 |
| Solutions Architect - Manufacturing Solutions Architect for Databricks, focusing on helping large enterprises become more data-driven by defining and directing technical strategy for accounts, leading to wider adoption of ML & AI. This role involves value selling, technical account management, and technical leadership, working closely with Enterprise Account Executives. | — | 5 |
| Sr. Solutions Architect, Retail This role is for a Sr. Solutions Architect in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The primary goal is to drive adoption of Databricks' products, including ML & AI capabilities, by helping customers become more data-driven. While the role requires a strong understanding of ML & AI applications, the core function is pre-sales and technical account management, not direct ML model development or deployment. | — | 5 |
| Solutions Architect - Emerging Enterprise Solutions Architect role at Databricks focused on leading customer adoption of the Databricks Unified Analytics Platform, including data engineering, data analytics, data science, and machine learning solutions. Responsibilities include identifying use cases, developing architectures, guiding implementations, and partnering with sales. | Ship | 5 |
| Solutions Architect - Emerging Enterprise (Startups) Solutions Architect for Databricks, focusing on emerging enterprise clients. This role involves leading customer adoption of the Databricks Unified Analytics Platform, consulting on big data architecture, implementing proof of concepts for data science and machine learning projects, and guiding customers through implementations. The role requires technical leadership, strong communication skills, and expertise in data engineering, data analytics, data science, and machine learning technologies, with a focus on open-source projects like Apache Spark, MLflow, and Delta Lake. | Serve | 5 |
| Solutions Architect, Retail Solutions Architect for Databricks in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The role involves driving adoption of ML & AI, leading technical strategy, and acting as the main technical voice for clients, leveraging expertise in data-driven transformation and big data technologies. | — | 5 |