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Engineering Manager - Data Visualization Platform

Lead a high-performing engineering team focused on revolutionizing data visualization with AI/BI dashboards.

Location
Bellevue, Washington
Compensation
$180.5k–$247k/yr
Level
lead
Type
full time · On-site

Posted by employer 5 months ago

First seen on Joblaze 4 months ago

Last verified on the company career page 4 hours ago

Role intensity

10% coding — mostly leadership/strategy

AI in the day-to-day

null

Requirements

Experience
5+ years

Not disclosed in this posting: visa sponsorship.

Joblaze summary

The Engineering Manager for the Data Visualization Platform at Databricks leads a team focused on enhancing how users interact with data through advanced visualizations and dashboards. This role requires expertise in frontend development, particularly with React, and a strong background in managing engineering teams in dynamic environments. Ideal candidates will have a passion for data visualization and a proven ability to attract and mentor top talent. The position is part of a collaborative team that aims to replace legacy tools with innovative, AI-driven solutions.

Joblaze insights

  • Listed about 4 months ago — first seen on Joblaze June 4, 2026. Last confirmed on Databricks's careers page November 1, 2026.
  • Salary band is in line with the typical range for Management roles (median ~$170,000).
  • Starts above 18% of 17 comparable lead management roles in United States that list React we track (median $200,000 across 13 companies). See React salary trends
  • React appears in 4.8% of 630 comparable lead management roles in United States.

Quick facts

Is the Engineering Manager - Data Visualization Platform role remote?
No — this is an on-site role in Bellevue, Washington.
What's the salary range?
Databricks lists $180,500–$247,000 for this role.
How much experience is required?
At least 5 years of relevant experience for this Engineering Manager - Data Visualization Platform role.
Where is the role based?
Databricks is hiring for this position in Bellevue, Washington.
What's the tech stack?
Joblaze extracted these technologies from the posting: D3.js, MobX, React, Vega-Lite.
What seniority level is this role?
Databricks targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Engineering Manager - Data Visualization Platform role at Databricks.

From the original posting

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 track record of attracting, hiring, and retaining top engineering talent, including the ability to mentor engineers at various levels.
  • Collaborative Leader: Experience working with cross-functional stakeholders including Product Management, Design, and AI Research teams to deliver agentic product experiences.
  • Adaptability: Resilience in a rapidly evolving tech environment, with the ability to pivot priorities based on customer feedback and emerging AI capabilities.

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
$180,500—$247,000 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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