Jobs / United States / Databricks
Director, Field Engineering (CPG & Retail)
Databricks · 🇺🇸 United States
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 roles4 certified filings for “Sr. Manager, Field Engineering” (Computer and Information Systems Managers) in TX: $209k–$218k, median $209k. Most were filed at wage level IV (75%) — 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: FEQ427R375 Mission: As the Director of Field Engineering, you will be responsible for partnering with our enterprise Consumer Packaged Goods (CPG) and Retail customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical business challenges. Reporting to the Tech GM of Field Engineering for Retail & Consumer Packaged Goods (CPG), the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects focused on acquiring new customers and expanding strategic relationships across the Retail and CPG industry. You will work closely with Sales, Product, Engineering, Customer Success, and executive stakeholders to drive strategy and execution against our ambitious growth goals. You will foster a culture of psychological safety while developing and scaling a high-performing team with expertise in enterprise software, data engineering, analytics, AI/ML, and cloud technologies. Your experience partnering with Sales will help drive complex enterprise opportunities while coaching managers and field engineering teams to deliver exceptional customer outcomes. You will guide your team through strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build trusted relationships with senior business and technology leaders across the Retail and CPG industry. The impact you will have: • Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects. • Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles mindset. • Develop trusted, long-term executive relationships with customers while maintaining a deep understanding of the Retail and CPG industry, including key business trends, competitive dynamics, and digital transformation priorities. • Help customers accelerate their Data and AI strategies across areas such as customer experience, merchandising, supply chain, demand forecasting, marketing, and operations. • Promote a solution- and value-based Field Engineering organization. • Display an understanding of customer business priorities and revenue opportunities across the assigned region and industry. • Serve as a thought leader for Databricks and within the Retail, CPG, Data, and AI ecosystem. What we look for: • At least 3 years of second-line leadership experience managing teams of 30+ individuals, with 10+ years of overall leadership experience. • Proven success leading high-growth enterprise software pre-sales organizations within Retail, CPG, cloud, data, analytics, or AI. • Experience partnering with Retail and/or CPG customers on large-scale data, analytics, AI, or digital transformation initiatives. • Ability to elevate executive engagement, with a track record of driving large strategic transactions and expanding high-growth enterprise accounts. • Proven leadership ability to influence, develop, and empower teams to achieve ambitious business objectives through collaboration. • Drive operational rigor to manage a high-growth business, establishing the right operating cadence while ensuring visibility into customer priorities, escalations, and product feedback. • Proven track record of delivering transformational customer outcomes and measurable business value. • Track record of building strong customer relationships and cross-functional partnerships across Sales, Engineering, Product, Marketing, and Customer Success. • Experience positioning technical solutions within complex enterprise environments and helping customers realize long-term value and platform adoption with Databricks. • Strong ope