SAP Technical Lead

The shape of it

In the posting’s own words

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 integration fabric that connects SAP to the rest of the enterprise, to the AI and agentic services that make the experience intelligent. 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. Your mission is to combine the strength of SAP with the power of Databricks AI to build a technical foundation that lets the business scale.

What it asks for · 5

• 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.
• Integration & APIs: Advanced experience with SAP Integration Suite, API management, event-driven architecture, and REST/OData, integrating hybrid SAP and non-SAP landscapes.
• Governance Rigor: Working knowledge of SAP authorizations, SoD, SOX and audit requirements, and the ability to architect solutions and automation that satisfy them.
• 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.
• Experience building custom applications or automation layers on modern data platforms (such as Databricks) that extend or sit alongside SAP.

Also a plus

• 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.

What the job covers

• 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.
• 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; report technical status, risks, and roadmaps to stakeholders.

Tools and skills named

Words the posting leans on

• sap25×
• technical13×
• integration10×
• data9×
• core8×
• btp7×
• experience7×
• architecture6×
• lead6×
• clear5×
• extension5×
• apis4×
• architect4×
• clean-core4×
• extensibility4×
• governance4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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