Databricks

Databricks

SAP Technical Lead

Mountain View, California · Senior

Sponsorship not specified$198k-$273kDetected 5 days ago
DatabricksCI/CDRESTData EngineeringLLMsRAGAgentic AIAI OrchestrationComplianceAgileSAPERPTest AutomationUnityLeadership

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$94,3701 entry
Level II$123,8432 entries
Level III$153,3173 entries
Level IV$182,7904 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Bakersfield-Delano, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 72 green-card filings in this occupation, 99% were for a worker who already held the job.

Green-card intent detected

Databricks, Inc. obtained a prevailing wage determination for Sales Engineers in San Francisco, CALIFORNIA on 2026-06-15. No matching green-card filing appears in our data yet. The determination expires in 5 days (2026-09-12), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file

Green-card follow-through: 52%

Of 52 labor certifications old enough to have been used, 25 expired without the employer filing the next step. Median time from filing to decision: 482 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

163 transfer filings in the last year, covering 1450 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • SAP will serve as the foundation for Databricks' core finance processes, including Record-to-Report, Source-to-Pay, and Order-to-Cash.
  • Rather than accumulating custom code inside the digital core, you'll champion a modern extensibility model on SAP BTP and the Databricks Lakehouse, so Finance teams get automated, AI-driven workflows on top of a core that stays clean, upgradable, and fast.

Responsibilities

  • Own the Technical Architecture: Define and own the end-to-end technical architecture for the S/4HANA landscape (greenfield, brownfield, or selective data transition), aligned to clean-core principles, with clear guardrails that keep the digital core standard and upgrade-ready.
  • Lead the Extensibility Strategy: Define and own the extensibility strategy for SAP, using Databricks-native applications to address business requirements beyond core SAP capabilities.
  • Drive Enterprise AI Integration: Drive a strong integration with ongoing Enterprise AI transformation within Databricks by bringing AI fluency and hands on AI experience.
  • Design the Integration Fabric: Architect secure, resilient integration across SAP and non-SAP systems using SAP Integration Suite, event-driven patterns, APIs, OData v4, and change-data feeds into the Lakehouse, with clear contracts, error handling, and observability.
  • Unify SAP Data in the Lakehouse: Partner with data engineering on the technical patterns for landing SAP data in Databricks-ingestion, CDC, semantic and master-data modeling, lineage, and governance.
  • own code and design reviews
  • and define the technical standards, security patterns, and best practices the team builds against.
  • Lead the Team: Mentor developers and architects, lead technical steering, and act as the connective tissue across the SAP ecosystem (BTP, Integration Suite) and the systems around it, partnering closely with functional, product, and partner engineering teams.
  • Be Accountable for Non-Functionals: Own performance, scalability, security, resilience, and cost across the landscape
  • Set Engineering Standards: Establish CI/CD, automated testing, and transport/deployment pipelines for BTP artifacts; own code and design reviews; and define the technical standards, security patterns, and best practices the team builds against.

Requirements

  • SAP BTP & Modern Development: Advanced experience across SAP BTP, ABAP Cloud and the ABAP RESTful Application Programming Model (RAP), CDS, and CAP, with Fiori/SAPUI5 on the front end.
  • Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and the ability to architect solutions and automation that satisfy them.
  • 10+ years in SAP technical roles, with 3+ years as a technical lead or architect, and a proven track record delivering at least one full S/4HANA program (greenfield or conversion) plus BTP-based extension delivery.
  • Clean-Core Architecture: Deep, hands-on command of clean-core principles-custom-code assessment and remediation, in-app vs. side-by-side extensibility, released APIs and extension points, and the governance that keeps the core clean over time.
  • AI & Agentic Systems: Hands-on experience or strong technical command of agentic automation, LLM orchestration, retrieval-augmented generation, and evaluation-plus clear judgment about where AI belongs in a controlled, auditable ERP process and where it does not.
  • Integration & APIs: Advanced experience with SAP Integration Suite, API management, event-driven architecture, and REST/OData, integrating hybrid SAP and non-SAP landscapes.
  • Data Fluency: Solid understanding of modern data platforms, SAP data extraction and modeling, pipelines, and semantic layers, and the practical work of making ERP data usable for analytics and AI.
  • Leadership: Ability to translate business requirements into technical architecture, present tradeoffs to non-technical stakeholders, mentor engineers, and make pragmatic decisions that balance speed against long-term maintainability.

Nice to have

  • Hands-on knowledge of SAP integration surfaces and their limitations, including OData and REST APIs, CDS views, and Datasphere.
  • SAP certification in SAP BTP, S/4HANA, or a relevant technology area, and prior work in a high-growth technology company where ERP had to scale quickly.

Compensation

  • 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.
  • The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
  • Zone 1 Pay Range
  • $198,200 - $272,600 USD

Benefits

  • At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
  • For specific details on the benefits offered in your region click here.

Company info

  • At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.

Equal opportunity

  • Our Commitment to Diversity and Inclusion
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This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.