Skills this job asks for
SnowflakeLeadershipSQLLLMsProduct managementCommunication
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 428 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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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What Snowflake INC paid sponsored hires in similar roles4 certified filings for “Director, Enterprise Data Engineering” (Architectural and Engineering Managers) in CA: $219k–$283k, median $234k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 428 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 Snowflake INC paid sponsored hires in similar roles
- 4 certified filings for “Director, Enterprise Data Engineering” (Architectural and Engineering Managers) in CA: $219k–$283k, median $234k. 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).
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.
About the role
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We're looking for a Director of Engineering to join our leadership team in AI Functions product portfolio, a hybrid director/principal engineer role at the forefront of AI-powered analytics. Join our Leadership team in AI Functions Product Portfolio.
Our mission is to democratize AI by surfacing powerful AI functions directly in SQL for analyzing structured and unstructured data, with minimal configuration. We handle the full AI lifecycle behind the scenes, so data analysts, engineers, and scientists can build data transformation pipelines with AI using the most sophisticated building blocks seamlessly within their existing SQL workflows.
The AI Functions product portfolio represents one of the most strategic and impactful product surfaces within Snowflake, bringing together two of the company’s core strengths: its industry-leading ability to process massive volumes of data and its growing capability to make that data AI-ready. By embedding advanced AI and LLM-powered functions directly into SQL, this portfolio transforms Snowflake from a data platform into an intelligent data system—where structured and unstructured data can be seamlessly prepared, enriched, and analyzed using AI at scale. This convergence enables customers to operationalize AI within their existing workflows, unlocking faster insights, more powerful applications, and a fundamentally new way to interact with data.
IN THIS ROLE AT SNOWFLAKE, YOU WILL:
- Create and own architecture and design, influence our product roadmap, and identify new initiatives that push Snowflake's technology forward for our customers
- Set the strategic vision for the team and drive accountability for plans and deliverables
- Solve real business needs at scale by applying strong software engineering and analytical problem-solving skills
- Drive team projects from ideation through implementation in partnership with cross-functional teams
- Foster a culture of creativity and innovation while ensuring sound, practical decision-making
- Lead organizational structure evolution and improve engineering efficiency
- Hire, develop, and mentor senior technical leaders
- Manage, Grow, and Mentor the teams that have a significant impact on the success of the overall Snowflake product.
WE WOULD LOVE TO HEAR FROM YOU IF YOU HAVE:
- Advanced degree in Computer Science
- 10+ years of software engineering experience with recent hands-on experience
- 2+ years of engineering director experience, including managing managers
- Deep experience with AI infrastructure and LLMs
- Experience building large-scale query processing or distributed systems
- Strong track record of recruiting and growing technical teams
- Excellent collaboration and communication skills across global organizations
WHY JOIN OUR TEAM AT SNOWFLAKE?
Join us at the forefront of AI innovation where you'll lead transformative initiatives that shape the future of data and artificial intelligence. You'll have the opportunity to work with cutting-edge LLM technology while building and mentoring high-perf
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