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

Details

NVIDIA is seeking a Senior Databricks Developer to help build AI/ML and enterprise data products by transforming complex SAP S/4HANA data into useful insights and governed, reusable data assets.

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 for 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 supporting analytics, reporting, AI/ML, and governed self-service.
• Implement data quality, reconciliation, validation, lineage, observability, and production support practices for reliable, business-ready datasets.
• Collaborate with SAP functional experts, business systems analysts, data architects, BI developers, and data scientists.
• Use Unity Catalog and Immuta to manage catalogs, schemas, tables, views, permissions, tags, comments, lineage, ownership, and fine-grained access controls, including row filters, masking, policy enforcement, and auditing.
• Assess and apply SAP data extraction technologies, including CDS views, ODP/ODQ, SLT, SAP Datasphere, SAP BW extractors, BODS, APIs/OData, replication flows, and SAP Business Data Cloud.
• Mentor data engineers and analysts and create reusable templates, patterns, and documentation for onboarding new SAP domains.

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 production-grade data pipelines.
• Experience modeling and building curated datasets from SAP S/4HANA or SAP ECC, with knowledge of SAP data structures and extraction methods.
• Deep understanding of SAP business processes and data frameworks in areas such as finance, supply chain, procurement, sales, inventory, manufacturing, or master data.
• Hands-on experience with Unity Catalog, including permissions, catalogs, schemas, tables, views, tags, comments, lineage, and data discovery.
• 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.
• Ability to mentor developers and improve engineering practices, code quality, and production readiness.
• Strong interpersonal and communication skills for collaboration with technical teams and business stakeholders.

Preferred Qualifications

• Experience with SAP Business Data Cloud, SAP Datasphere, SAP BW, SAP SLT, ODP/ODQ, CDS views, BODS, or SAP APIs/OData.
• Experience 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 Tableau, Power BI, Alteryx, Dataiku, or similar analytics and BI platforms.
• Knowledge of CI/CD, Git, Databricks Asset Bundles or equivalent workflow orchestration, automated deployment, data privacy, least-privilege access, sensitive data classification, and enterprise data governance.

Compensation and Benefits

• Base salary range: USD 184,000–287,500 per year.
• Eligible for equity and benefits.
• Applications will be accepted at least until July 13, 2026.
• NVIDIA is an equal opportunity employer and is committed to an inclusive work environment.