Engineering Manager - Data Visualization Platform
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead a Bellevue engineering team developing AI/BI visualization experiences. You will recruit and mentor frontend and visualization engineers, establish processes to deliver product strategy, ensure the platform is reliable and operable, and manage technical debt while advancing agentic authoring and semantic-model integration.
Requirements
- 5+ years of hands-on web frontend development experience
- Experience with React-based applications and modern state management
- 2+ years leading and managing high-performing engineering teams
- Interest in data visualization, charting libraries, or UX for complex data tools
- Experience improving team productivity through technical initiatives
- Experience hiring and mentoring engineers
- Experience collaborating with Product Management, Design, and AI Research teams
Responsibilities
- Lead the data visualization engineering team
- Recruit, mentor, and develop frontend and visualization engineers
- Build processes to execute the AI/BI product vision
- Ensure the visualization platform is performant, reliable, and operable
- Manage technical debt and framework migrations
- Balance the product roadmap for agentic authoring and semantic model integration