GAQ126R44

About Databricks

At Databricks, our mission is to help data teams solve the world's toughest problems—and that begins with empowering our own employees with exceptional internal products. The Databricks IT organization is a product-led engineering team building intelligent, AI-powered platforms that simplify how work gets done across the company. For Finance, our vision is to eliminate manual, repetitive work by automating complex business processes, surfacing actionable insights, and orchestrating end-to-end workflows. We are reimagining finance operations so teams spend less time processing transactions, chasing approvals, and resolving exceptions, and more time delivering strategic insights that accelerate the business.

We're looking for a SAP Developer to build the applications, extensions, and integrations that bring this vision to life. In this role, you'll write clean-core extensions on SAP BTP, build full-stack apps and Fiori experiences, wire up integrations between SAP and the Databricks Data Intelligence Platform, and help embed AI and agentic capabilities directly into finance workflows. You'll work at the intersection of SAP and AI—shipping software that makes finance operations faster, smarter, and more automated.

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 an SAP Developer, you'll be hands-on-keyboard building the layer that makes those processes intelligent: side-by-side extensions on BTP, event-driven integrations into the Lakehouse, and AI-assisted workflows that automate routine work and guide users through exceptions and approvals. You'll build with modern SAP and Databricks AI tooling—combining SAP’s core ERP capabilities with Databricks-native AI, agentic applications, and automation—while keeping the SAP digital core clean, scalable, and upgradable. Your mission is to turn designs into robust, production-grade software that combines the strength of SAP with the power of Databricks AI.

What You'll 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.

What You Bring

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.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

**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.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.