Jobs / United States / Databricks
Director, Field Engineering Emerging Enterprises & Startups
Databricks · 🇺🇸 San Francisco, California
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 roles1 certified filing for “Director, Security Software Engineering” (Information Security Analysts) in CA: $271k–$271k, median $271k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% 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).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Databricks
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
Req ID FEQ327R163 About the Role As a Director, Field Engineering, you will lead a multi-team Field Engineering organization and own strategy, talent, operating model, and execution for a significant business area. You will scale customer and business impact through other leaders while influencing broader go-to-market, partner, Product, Engineering, and company priorities. This role typically oversees a leadership team of approximately 3–5 leaders or an equivalent multi-team scope. Depending on the assignment, you may lead a broad business unit, multiple segments or countries, a major portfolio, or another strategically significant area. The Impact You Will Have • Build and lead a strong leadership team that attracts, develops, and retains exceptional Field Engineering talent. • Own an end-to-end strategy across talent, customer coverage, technical priorities, operating model, execution, and business impact. • Translate customer, market, competitive, and technical trends into clear priorities and 6–12+ month plans. • Scale impact beyond individual teams through leaders, cross-functional GTM initiatives, partner ecosystems, and repeatable operating mechanisms. • Build trusted relationships with senior customer stakeholders, including VP-level and equivalent audiences, and guide complex programs, escalations, and transformation roadmaps. • Establish operating norms and inspection cadences across the organization that create visibility, accountability, predictable execution, and fast course correction. • Shape resourcing and organizational design to support growth, customer outcomes, technical quality, and long-term business value. • Upgrade hiring rigor, talent practices, leadership development, performance management, and succession planning across the organization. • Influence broader Sales, Professional Services, Marketing, Partners, Product, Engineering, Support, and executive priorities through a clear point of view and strong cross-functional relationships. • Partner with GTM Strategy & Operations and other functions to create scalable tools, programs, dashboards, and mechanisms; use AI to drive one-to-many organizational impact. • Act as a recognized resource on data, AI, cloud, customer transformation, and evolving market trends. • Embed Databricks Culture Principles into hiring, development, recognition, decision-making, and daily operations while maintaining a high bar for performance and customer impact. What We Look For • Extensive experience leading technical customer-facing organizations in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment. • Proven success leading through managers and building a high-performing leadership team. • Track record of recruiting exceptional talent, developing leaders, addressing complex performance situations, and evolving organizational structure for scale. • Strong strategic and business judgment, with the ability to connect customer and market insight to organizational priorities and measurable business outcomes • Experience designing and running operating models across multiple teams, portfolios, segments, geographies, or countries. • Demonstrated ability to influence senior leaders across Sales, Professional Services, Marketing, Partners, Product, Engineering, Support, and executive stakeholders. • Executive-level customer-advisory skills, including the ability to guide complex programs, critical escalations, technical strategy, and long-term transformation roadmaps. • Strong technical credibility across data platforms, analytics, AI, cloud architecture, governance, security, networking, and enterprise adoption, with the judgment to pressure-test complex approaches. • An AI-first, builder mindset demonstrated throu