Databricks

1 month ago

Engineering Manager - Data Visualization Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead the Data Visualization engineering team in Bellevue to build AI-enabled dashboards and visualization tools. Drive frontend excellence with React and Vega-Lite, mentor engineers, recruit top talent, align roadmap with product vision, and ensure high performance and reliability across the visualization platform.

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead a high-performing engineering team in Bellevue focused on visualizing data with AI/BI Dashboards.
•Oversee sustained recruitment of frontend and visualization talent and foster mentorship and growth.
•Build processes to implement the AI/BI product vision, including BI Takeout initiatives to replace legacy tools.
•Ensure the visualization platform is feature-rich, high-performing, reliable, and easy to operate.
•Manage technical debt and balance roadmap with agentic authoring and semantic model integration.

Pay and Benefits

Salary: USD 180,500 - 247,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of hands-on frontend development experience in React-based applications with modern state management (e.g., MobX)
•2+ years leading and managing high-performing engineering teams
•Strong interest and experience in data visualization and charting libraries (e.g., D3.js, Vega-Lite)
•Proven ability to drive initiatives that improve team productivity (e.g., CI/CD optimizations)
•Track record of attracting, hiring and mentoring engineers at multiple levels

Experience:Data visualizationAISaaS

Skills:ReactMobXD3.jsVega-LiteCI/CDFrontend development

Languages:English

Tech Stack:ReactMobXD3.jsVega-LiteCI/CD

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Engineering Manager - Data Visualization Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Bellevue

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Lead a high-performing engineering team in Bellevue focused on visualizing data with AI/BI Dashboards.
•Oversee sustained recruitment of frontend and visualization talent and foster mentorship and growth.
•Build processes to implement the AI/BI product vision, including BI Takeout initiatives to replace legacy tools.
•Ensure the visualization platform is feature-rich, high-performing, reliable, and easy to operate.
•Manage technical debt and balance roadmap with agentic authoring and semantic model integration.

Pay and Benefits

Salary: USD 180,500 - 247,000 annually

Equity and Bonus:Equity

Key Requirements

•5+ years of hands-on frontend development experience in React-based applications with modern state management (e.g., MobX)
•2+ years leading and managing high-performing engineering teams
•Strong interest and experience in data visualization and charting libraries (e.g., D3.js, Vega-Lite)
•Proven ability to drive initiatives that improve team productivity (e.g., CI/CD optimizations)
•Track record of attracting, hiring and mentoring engineers at multiple levels

Experience:Data visualizationAISaaS

Skills:ReactMobXD3.jsVega-LiteCI/CDFrontend development

Languages:English

Tech Stack:ReactMobXD3.jsVega-LiteCI/CD

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn