Senior Databricks Developer, SAP S/4 Data Products and Governance
$184,000–$287,500 year
On-siteSanta Clara, California, United States
Job Summary
Design scalable Databricks pipelines using PySpark, SQL, Delta Lake, and notebooks to transform complex SAP S/4HANA data into trusted facts, dimensions, and metrics across finance, supply chain, and master data domains. Develop bronze, silver, and gold layer datasets while implementing robust data quality, reconciliation, lineage, and observability practices. Collaborate with SAP functional experts and data scientists to translate business processes into reusable semantic assets, utilizing Unity Catalog and Immuta for governance, access controls, and auditing. Mentor team members by building reusable engineering patterns and documentation to raise overall data maturity.
Required Qualifications
- 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
Desired Qualifications
- 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
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