Engineering Manager - Data Visualization Platform

Databricks; Bellevue (WA); On-site; USD 130,000 - 160,000; Full time

Job summary

Databricks is seeking an Engineering Leader for its Data Visualization team in Bellevue, WA. You will be responsible for leading a high-performing engineering team focused on enhancing data visualization through AI-driven solutions. This role requires 5+ years in frontend development, primarily with React, and experience managing engineering teams.

Key responsibilities include fostering talent development, ensuring operational excellence of the visualization platform, and executing strategic initiatives to replace legacy tools. Join us in transforming the way businesses visualize data!

Qualifications

• 5+ years of hands-on experience in web frontend development.
• 2+ years leading and managing high-performing engineering teams.
• Deep interest in data visualization and UX for complex data tools.

Responsibilities

• Lead a talented engineering team revolutionizing data visualization.
• Oversee recruitment and foster mentorship.
• Implement AI/BI product vision and replace legacy tools.
• Ensure platform reliability and performance.
• Manage technical debt while balancing an ambitious roadmap.

Skills

Frontend development expertise

React-based applications

Management skills

Data visualization passion

Optimization of CI/CD

Tools

D3.js

Vega-Lite

Job description

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 products so our customers can use deep data insights to improve their business.

We are the Data Visualization team, a core part of the AI/BI organization. Our mission is to enable everyone in an organization to make intelligent business decisions informed by the best data available. We empower business teams via self-service analytics, helping them author high-quality visualizations and dashboards using our AI-first authoring experience. We own the visualization library, the dashboarding canvas, and the agentic authoring workflows that bridge the gap between complex data and actionable insights.

We are seeking a dedicated Engineering Leader for our Data Visualization team in Bellevue. This team is responsible for the entire life cycle of visual insights: from the underlying visualization framework (using technologies like React and Vega-Lite) to building advanced features like field variables, drill-downs, and AI-driven chart generation.

You will report directly to the Senior Manager of Engineering.

The Role

• Lead a Talented Team: You will lead a high-performing engineering team in Bellevue focused on revolutionizing how users visualize data with AI/BI Dashboards.
• Talent Development: You will oversee the sustained recruitment of top-tier frontend and visualization talent and foster a culture of mentorship and professional growth.
• Strategic Execution: You will build processes to implement the AI/BI product vision, focusing on "BI Takeout" initiatives to replace legacy tools with superior Databricks-native experiences.
• Operational Excellence: You will ensure the visualization platform is not only feature-rich but also high-performing, reliable, and easy to operate.
• Technical Stewardship: You will manage technical debt (e.g., framework migrations, performance optimizations) while balancing an ambitious roadmap that includes agentic authoring and semantic model integration.

What We Look For

• Frontend Expertise: 5+ years of hands‑on experience in web frontend development, with a strong preference for React-based applications and modern state management (e.g., MobX).
• Management Experience: 2+ years leading and managing high-performing engineering teams, ideally in a fast-paced product environment.
• Visualization Passion: A deep interest in data visualization, charting libraries (e.g., D3.js, Vega-Lite), or UX for complex data tools.
• Efficiency Driver: Proven ability to drive technical initiatives that improve team productivity, such as optimizing CI/CD runtimes or streamlining visualization frameworks.
• Talent Magnet: A strong tr