Jobs / United States / Databricks
Sr. Learning Platform Specialist
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 roles5 certified filings for “Staff IT Product Specialist” (Computer and Information Systems Managers) in CA: $179k–$249k, median $185k. Most were filed at wage level I (60%) — 1 lottery entry, ≈15% 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
CSQ227R13 About Databricks Databricks is The data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify data, analytics, and AI. Founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow, Databricks is building the foundation for organizations to put data and AI to work. The impact you’ll have As a Senior member of the Learning Platforms team, you will shape the technical direction of the systems that help employees, partners, and customers build the skills they need to succeed with data and AI. You will operate as a broad platform owner - moving fluidly from product strategy and architecture to the hands-on engineering, cross-functional alignment, and reliable operations. You will lead the design and delivery of intelligent, data-driven learning experiences that connect content, skills, assessments, and business outcomes. This is a high-impact individual contributor role for an individual who can turn ambiguous business problems into secure, scalable products! What you’ll do • Own the architecture and technical strategy for a portfolio of learning platforms and enablement products, from early discovery through production operation and evolution. • Lead the design and implementation of AI-powered capabilities, including recommendation systems, skill inference, intelligent search, personalization, and analytics-driven learning workflows. • Build secure, privacy-aware data systems that integrate information across learning, workforce, customer, and operational platforms. • Develop Databricks-native applications, data pipelines, APIs, automations, and user experiences that make complex learning processes simple and scalable. • Establish strong engineering practices for reliability, observability, testing, release management, access control, and lifecycle ownership. • Make pragmatic decisions and define integration strategies across learning management systems, lab environments, content platforms, identity systems, and internal data products. • Partner with business leaders to define product direction, prioritize roadmaps, clarify trade-offs, and deliver measurable outcomes. • Navigate complex requirements involving security, privacy, compliance, governance, and responsible use of AI. • Lead cross-functional technical programs involving multiple engineering teams and senior stakeholders, creating clarity and momentum in ambiguous environments. • Mentor engineers, raise the technical bar, contribute to hiring, and create reusable patterns that help the broader organization move faster. • Serve as a technical thought leader internally and externally through architecture documents, technical presentations, reusable guidance, and community engagement. What we’re looking for • 5-7 years of experience designing, building, and operating production software or data platforms, with a track record of leading work across organizational boundaries. • Demonstrated experience owning architecture and technical direction for complex, multi-system products. • Strong full-stack or platform engineering background, with depth in backend services, APIs, data pipelines, cloud infrastructure, and modern web applications. • Experience designing and operating AI- or data-intensive systems, such as recommendation engines, inference pipelines, search, personalization, or analytics products. • Fluency in Python or a similar production programming language, plus strong SQL and experience with relational and analytical data systems. • Experience with cloud platforms, distributed systems, identity and access management, security controls, and production operations. • Strong judgment around data privacy, governance, least-privilege access, and responsibl