Jobs / United States / Databricks

Engineering Manager - Data Visualization Platform

Databricks · 🇺🇸 Bellevue, Washington

Sponsorship verdict

Sponsorship possible

One solid signal, not two — worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
  • What Databricks paid sponsored hires in similar roles2 certified filings for “Sr. Product Manager” (Data Scientists) in WA: $164k–$197k, median $181k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
  • Confirmed live todayWhen a source last listed this job as open.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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445 H-1B filings certified since Oct 2025

The US Department of Labor certified 445 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 78 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).

Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Databricks →

About the role

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

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Source: Greenhouse (employer board) First seen: 2026-08-18 Last confirmed: 2026-10-03 How our data works → Report this job

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