SAP Technical Lead
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You'll define and own the technical architecture for a clean-core S/4HANA landscape, set extensibility strategy, design the integration fabric, land SAP data in the Lakehouse, set engineering standards, mentor developers, and own non-functional qualities like performance, security, and cost.
Requirements
- 10+ years in SAP technical roles with 3+ years as technical lead or architect
- Delivered at least one full S/4HANA program plus BTP extension delivery
- Clean-core architecture expertise
- Advanced experience with SAP BTP, ABAP Cloud, RAP, CDS, CAP, Fiori/SAPUI5
- Hands-on experience with agentic automation, LLM orchestration, RAG, and evaluation
- Advanced experience with SAP Integration Suite, API management, event-driven architecture, REST/OData
- Understanding of modern data platforms and SAP data extraction and modeling
- Knowledge of SAP authorizations, SoD, SOX, and audit requirements
- Leadership and ability to communicate tradeoffs to non-technical stakeholders
Responsibilities
- Define and own end-to-end S/4HANA technical architecture aligned to clean-core principles
- Lead the extensibility strategy using Databricks-native applications
- Drive integration with enterprise AI transformation
- Architect secure integrations using SAP Integration Suite, event-driven patterns, APIs, and OData v4
- Partner with data engineering to land SAP data in the Lakehouse
- Establish CI/CD, testing, and deployment pipelines for BTP artifacts
- Own code and design reviews and technical standards
- Mentor developers and architects and lead technical steering
- Own performance, scalability, security, resilience, and cost; report status and risks
Benefits
- Eligibility for annual performance bonus
- Equity