Jobs / United States / Databricks
Director, Field Engineering - Financial Services
Databricks · 🇺🇸 Georgia; Illinois; New York; Texas; Washington, D.C.
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
FEQ327R500 As the Director of Field Engineering, you will be responsible for partnering with our enterprise customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical challenges. Reporting to the Tech GM of Field Engineering for Financial Services, the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects, focusing on acquisition of new customers. You will also work with various internal and external partners, and be responsible for driving strategy and execution to deliver against our audacious goals. You will create a culture of psychological safety to develop and grow a team experienced in enterprise software, big data/analytics, data engineering, and data science. Your experience partnering with the sales organization will help close revenue opportunities with the right approach whilst coaching new sales and pre-sales team members to work together. You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles, and build relationships with key stakeholders in large corporations. 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 a first principles mindset • Create trust-based relationships with customers for the long term and understand your industry and sub-verticals, landscapes and trends, to help influence the direction of our accounts. • Promote a solution and value-based selling field-engineering organization. • Display an understanding of business needs and revenue potential for accounts in the assigned region. • Be a thought leader for Databricks and in the Data and AI ecosystem. What we look for: • At least 3 years of second-line leadership experience, managing teams of 30+ individuals and 10+ years of overall leadership experience • Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software or cloud provider. • Ability to elevate engagement, with a track record of driving large transactions and high-growth customers. • Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach. • Drive operational rigor to manage a high-growth business, with the right cadence, drive visibility and support for customer issues and feature requests. • Proven track record of transformational success and delivery of customer value. • Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships (Sales, Engineering, Marketing). • Experience in positioning solutions in complex strategic accounts and finding a path to mutual value, and durable consumption on the Databricks platform • Great at instituting processes for technical field members to improve efficiency. • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. 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 t