Senior Databricks Developer, SAP S/4 Data Products and Governance

NVIDIA is seeking a Senior Databricks Developer, SAP S/4 Data Products & Governance, to help build the future of AI/ML and Enterprise data products. You will turn complex SAP S/4HANA data into useful insights and promote innovation.

Job Overview

As a Senior Databricks Developer, you will design, build, and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, notebooks, and workflows. You will develop SAP S/4HANA and ECC datasets across various domains, including finance, supply chain, procurement, order management, inventory, manufacturing, customer, supplier, and master data.

Key Responsibilities

• 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 various 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.
• Assess and apply SAP data extraction technologies 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.

Requirements

• 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.
• 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.
• 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.

Nice to Have

• 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.