SAP Technical LeadActive$198K

Databricks
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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 Technical Lead, you will own how those processes are engineered—from the clean-core S/4HANA core and its extensions, to the…

What you'll do

  • 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. Establish clear architecture and governance standards to ensure extensions are scalable, secure, and aligned with the broader Finance technology strategy.

  • 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.

  • 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.

What they're looking for

  • Experience building custom applications or automation layers on modern data: platforms (such as Databricks) that extend or sit alongside SAP.
  • A clear point of view on build-versus-adopt tradeoffs across the SAP AI and: extension stack (BTP, AI Core, Joule) versus a Databricks-native approach.
  • Hands-on knowledge of SAP integration surfaces and their limitations,: including OData and REST APIs, CDS views, and Datasphere.
  • Experience running Agile delivery with system integrators and managed service: partners, including vendor and SLA accountability.
  • 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.