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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Databricks Developer, SAP S/4 Data Products and Governance - **Company:** NVIDIA Corporation - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $184,000.0 - $287,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Intelligence Development, Business Systems, Cloud Computing, Software Quality, Information Systems, Continuous Integration, Data Discovery, Information Engineering, Data Governance, Data Integration, Data Security, Data Structures, Machine Learning, SAP ERP, Open Data Protocol, Performance Tuning, Power BI, SAP (Applications), SAP Business Suiteing, SAP NetWeaver Business Warehouse, SAP NetWeaver Data Management, SQL Databases, Tableau (Software), Workflow Management Systems, Enterprise Data Management, Data Classification, Feature Engineering, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Deployment Automation, SAP S/4HANA, Integration Frameworks, Data Management, Dataiku, Data Pipelines, Alteryx, Databricks - **Published:** August 28, 2026 - **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Databricks-Developer--SAP-S-4-Data-Products-and-Governance_JR2020029 ## About the Role * 12+ years of experience in data engineering, analytics engineering, BI engineering, or enterprise data platform development. * Bachelor's or Master's degree (or equivalent experience) in Information Systems, Computer Science, or Business. * Strong practical experience with Databricks, Apache Spark/PySpark, SQL, Delta Lake, and building production-grade data pipelines. * Proven experience modeling and building curated datasets from SAP S/4HANA or SAP ECC, with solid knowledge of SAP data structures and extraction methods. * Deep understanding of SAP business processes and data frameworks in one or more areas such as finance, supply chain, procurement, sales, inventory, manufacturing, or master data. * Hands-on experience with Unity Catalog for permissions, catalogs, schemas, tables, views, tags, comments, lineage, and data discovery in a governed environment. * Working knowledge of Immuta or similar governed data access platforms, including policy-based controls, masking, row-level security, user attributes, groups, and auditing. * Experience implementing data quality, reconciliation, testing, monitoring, and performance optimization for large-scale, enterprise datasets. * Demonstrated ability to mentor other developers and improve the team's engineering practices, code quality, and production readiness. * Strong interpersonal and communication skills for collaborating with both technical teams and business stakeholders. Ways to stand out from the crowd: * Hands-on experience with SAP Business Data Cloud, SAP Datasphere, SAP BW, SAP SLT, ODP/ODQ, CDS views, BODS, or SAP APIs/OData for advanced data integration and extraction. * Track record of preparing SAP datasets for AI/ML, forecasting, anomaly detection, feature engineering, GenAI/RAG, and self-service analytics and dashboards. * Familiarity with semantic modeling, metric views, certified datasets, business glossaries, and data product-oriented delivery. * Experience with modern analytics and BI tools such as Tableau, Power BI, Alteryx, Dataiku, or similar platforms. * Strong foundation in CI/CD, Git, Databricks Asset Bundles (or equivalent workflow orchestration), automated deployment, data privacy, least-privilege access, sensitive data classification, and enterprise data governance. ## Description * Design, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows, applying reusable engineering patterns and performance best practices. * Develop SAP S/4HANA and ECC datasets across bronze, silver, and gold layers, covering finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data domains. * Translate SAP business processes into trusted facts, dimensions, metrics, measures, and reusable semantic data assets that support analytics, reporting, AI/ML, and governed self-service. * Implement robust data quality, reconciliation, validation, lineage, observability, and production support practices to ensure reliable, business-ready datasets. * Work closely with SAP functional experts, business systems analysts, data architects, BI developers, and data scientists to understand source logic and deliver well-documented, trusted data products. * Use Unity Catalog and Immuta to manage catalogs, schemas, tables, views, permissions, tags, comments, lineage, ownership, and fine-grained access controls (row filters, masking, policy enforcement, auditing) in line with governance standards. * Assess and apply SAP data extraction technologies (CDS views, ODP/ODQ, SLT, SAP Datasphere, SAP BW extractors, BODS, APIs/OData, replication flows, SAP Business Data Cloud) to design efficient, reliable ingestion patterns. * Mentor data engineers and analysts, and build reusable templates, patterns, and documentation to onboard new SAP domains and raise the team's overall engineering maturity. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)