Jobs / United States / Databricks
SAP Functional SME
Databricks · 🇺🇸 Mountain View, California
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.
- 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).
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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
GAQ126R41 About Databricks At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business. We're looking for an SAP Functional SME to own the functional design of our core finance processes on S/4HANA and to shape how AI and agentic automation reimagine them. In this role, you'll be the deep functional authority for your domain—translating how the business actually runs into standard, clean-core S/4HANA solutions, using process intelligence to find what's broken, and defining where AI belongs in a controlled, auditable process . You'll work at the intersection of SAP and AI, bridging Finance and Engineering to deliver a simpler, smarter, more automated experience. The Opportunity SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash. As the SAP Functional SME, you'll own the functional blueprint for those processes—leading discovery and AS-IS/TO-BE design, configuring S/4HANA, and defining the requirements for the intelligent, agentic layer that automates routine work and guides users through exceptions and approvals. You'll use process mining and business process intelligence to quantify opportunity and prioritize what to build, and you'll make the call on where AI-driven recommendations belong versus deterministic rules. Your mission is to combine deep functional expertise with the power of Databricks AI to create a modern, highly automated finance experience that lets the business scale. What You'll Do • Own Functional Design: Lead end-to-end process discovery and AS-IS/TO-BE design for major finance processes (Record-to-Report, Source-to-Pay, Order-to-Cash), define S/4HANA solution scope, and design to standard, clean-core capabilities wherever possible. • Configure S/4HANA: Own functional configuration, business rules, and master-data strategy for your domain, and partner with developers on extensions, APIs, and orchestration where standard functionality falls short. • Drive Process Intelligence: Use process mining and business process intelligence (leveraging SAP Process Intelligence and related tools) to identify root causes, quantify opportunity, and prioritize improvements; translate those findings into concrete S/4HANA requirements. • Shape the AI & Agentic Layer: Define the requirements for AI-assisted and agentic process improvements—task automation, intelligent recommendations, anomaly detection, and generative assistants—and make clear judgments about where AI belongs in a controlled, auditable process, where human-in-the-loop is required, and where a deterministic rule is the better answer. • Bridge Business and Engineering: Serve as the connective tissue between Finance process owners and the engineering pods, partnering with architects and developers to embed AI safely and to define the data flows between S/4HANA, process intelligence tools, SAP BTP, and Databricks AI. • Run Workshops and Validate Value: Facilitate stakeholder workshops to validate business value, define acceptance criteria, and lead user acceptance testing for both functional and AI features. • Measure Outcomes: Def