Jobs / United States / Nvidia Corporation
Senior Databricks Developer, SAP S/4 Data Products and Governance
Nvidia Corporation · 🇺🇸 US, CA, Santa Clara
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 2,374 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 394 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 Nvidia Corporation paid sponsored hires in similar roles31 certified filings for “Engineer Senior SWQA Test Developer” (Software Quality Assurance Analysts and Testers) in CA: $164k–$201k, median $201k. Most were filed at wage level IV (82%) — 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.
Or apply yourself on the official page →
Sponsor Radar — Nvidia Corporation
The US Department of Labor certified 2,374 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 394 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 Nvidia Corporation →
About the role
Join NVIDIA's team of world-class innovators and work with a dedicated group that drives the future of AI and Enterprise data products. As a Senior Databricks Developer, SAP S/4 Data Products and Governance, you will play a key role in enhancing our SAP S/4HANA data capabilities and advancing innovation in data products and governance. This is an outstanding chance to create a significant impact in a company known for its groundbreaking technology and inclusive culture. What you’ll be doing: • Compose, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows, following reusable engineering patterns and performance guidelines. • Build SAP S/4HANA and ECC datasets across bronze, silver, and gold layers, encompassing finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data domains. • Convert SAP business processes into reliable facts, dimensions, metrics, measures, and reusable semantic data assets that aid analytics, reporting, AI/ML, and governed self-service. • Implement strong data quality, reconciliation, validation, lineage, observability, and production support measures to guarantee reliable, business‑ready datasets. • Work closely with SAP functional experts, business systems analysts, data architects, BI developers, and data scientists to understand source logic and deliver well‑documented, trusted data products. • Use Unity Catalog and Immuta to handle catalogs, schemas, tables, views, permissions, tags, comments, lineage, ownership, and specific access controls (row filters, masking, policy enforcement, auditing) consistent with governance standards. • Assess and apply SAP data extraction technologies (CDS views, ODP/ODQ, SLT, SAP Datasphere, SAP BW extractors, BODS, APIs/OData, replication flows, SAP Business Data Cloud) to build efficient, reliable ingestion patterns. • Advise data engineers and analysts, and produce reusable templates, patterns, and documentation to onboard new SAP domains and elevate the team’s overall engineering maturity. What we need to see: • 12+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform development. • Bachelor’s or Master’s degree (or equivalent experience) in Information Systems, Computer Science, or Business. • Solid hands-on experience with Databricks, Apache Spark/PySpark, SQL, Delta Lake, and constructing production-level data pipelines. • Proven experience modeling and building curated datasets from SAP S/4HANA or SAP ECC, with solid knowledge of SAP data structures and extraction methods. • Comprehensive knowledge of SAP business procedures and data structures in one or more domains such as finance, supply chain, procurement, sales, inventory, manufacturing, or master data. • Practical experience with Unity Catalog managing permissions, catalogs, schemas, tables, views, tags, comments, lineage, and data discovery within a regulated environment. • Working knowledge of Immuta or similar governed data access platforms, including policy‑based controls, masking, row‑level security, user attributes, groups, and auditing. • Experience applying data quality, reconciliation, testing, monitoring, and performance optimization for large‑scale, enterprise datasets. • Established track record of supporting other developers and advancing the team’s engineering approaches, code quality, and production readiness. • Strong interpersonal and communication skills for collaborating with both technical teams and business collaborators. Ways to stand out from the crowd: • Practical experience working with SAP Business Data Cloud, SAP Datasphere, SAP BW, SAP SLT, ODP/ODQ, CDS views, BODS, or SAP APIs/OData for sophistica