Senior SAP Developer
Databricks · Posted Oct 24
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks' IT organization is a product-led engineering team building AI-powered internal platforms, with a focus on reimagining finance operations by automating complex business processes across Record-to-Report, Source-to-Pay, and Order-to-Cash. The team is making SAP the foundation for Databricks' core finance processes while combining it with the Databricks Data Intelligence Platform and AI tooling. This role builds clean-core extensions on SAP BTP, full-stack apps and Fiori experiences, SAP-to-Lakehouse integrations, and AI/agentic capabilities embedded into finance workflows.
What you will do
- Build Clean-Core Extensions: Develop in-app and side-by-side extensions on SAP BTP that keep the S/4HANA digital core clean and upgrade-ready, using released APIs and extension points rather than core modifications.
- Develop Databricks-Native Applications: Build scalable, full-stack applications and services on the Databricks platform that extend and integrate with SAP, leveraging Databricks-native capabilities, APIs, data services, and AI/agentic tooling to deliver modern Finance experiences while keeping the SAP core clean.
- Build Integrations: Implement secure, resilient integrations across SAP and non-SAP systems using SAP Integration Suite, event-driven patterns, APIs, OData v4, and change-data feeds into the Databricks Lakehouse, with solid error handling and monitoring.
- Embed AI & Agentic Capabilities: Build AI-powered and agentic capabilities into Finance workflows using Databricks AI, integrating seamlessly with SAP and other enterprise systems. Apply RAG, prompt engineering, tool calling, and human-in-the-loop controls to automate processes safely while maintaining governance and auditability
- Move SAP Data to the Lakehouse: Partner with data engineering to build the pipelines and extraction patterns (CDC, OData, APIs) that land SAP data in Databricks cleanly, with attention to modeling, lineage, and data quality.
- Engineer for Quality: Write unit and integration tests, work within CI/CD and transport pipelines for ABAP and BTP artifacts, participate in code reviews, and follow the team's security and coding standards.
- Collaborate: Work closely with the technical lead, functional experts, and product owners to turn requirements and designs into working software, and iterate quickly based on user feedback.
Skills used in this role
What the employer is looking for
- 6+ years of SAP development experience, with hands-on delivery of at least one end-to-end SAP solution (an S/4HANA extension, a CAP or RAP app on BTP with Fiori, or an Integration Suite flow) in production.
- Modern ABAP: Strong command of ABAP Cloud, ABAP CDS, and the ABAP RESTful Application Programming Model (RAP), plus OData (v2/v4).
- SAP BTP: Working-to-advanced experience with BTP runtimes, core services (Connectivity, Destination, XSUAA/auth), and deploying, securing, and operating apps on the platform.
- Front End: Solid experience with SAP Fiori concepts, SAPUI5, and Fiori Elements (OData v4).
- Integration: Experience with SAP Integration Suite / API Management and event-driven patterns (OData/REST, IDoc, Cloud Integration, Event Mesh) across hybrid landscapes.
- AI Fluency: Strong understanding of SAP and Databricks AI capabilities, with practical knowledge of generative AI and agentic concepts—including RAG, prompt engineering, grounding, tool calling, and enterprise AI governance. Hands-on experience building AI-powered applications and workflows on Databricks and integrating them with SAP is a strong plus.
- Engineering Practice: Comfort with Git, CI/CD pipelines, automated testing, and modern dev tooling (VS Code, ABAP Development Tools in Eclipse, MTA/CF packaging).
- Clean-Core Mindset: Understanding of clean-core principles and why extensions belong side-by-side or in-app rather than in the digital core.
- Collaboration: Clear communicator who can work across functional, product, and engineering teams and take ownership of what they ship.
Preferred qualifications
- Domain knowledge in finance, procurement, or supply chain that speeds delivery and requirements understanding.
- Experience extending or customizing Joule agents via SAP Build / Joule Studio, or building agents on SAP AI Foundation.
- Experience building applications on modern data platforms (such as Databricks) that extend or sit alongside SAP.
- Cloud-native experience—containerization and Kubernetes (Kyma), observability, and scalability patterns.
- SAP certification in ABAP, SAP BTP, or SAP Build, and prior work in a high-growth technology company.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
TechTarget
Databricks' latest improves AI memory, infrastructure for agents2026-10-22
CMSWire
Databricks CustomerLake Moves Closer to GA With Beta, Preview Rollout2026-10-20
Databricks Newsroom
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway2026-08-13
Forbes
Databricks Hits $190 Billion Valuation As CEO Ali Ghodsi Claims AGI Has Already Arrived2026-08-13