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

What you'll do

• Build and maintain scalable Databricks pipelines using PySpark, SQL, Delta Lake, and automated workflows.
• Develop SAP S/4HANA and ECC datasets across bronze, silver, and gold layers for various business domains.
• Convert complex SAP business processes into reliable facts, dimensions, metrics, and reusable semantic data assets.
• Implement data quality, reconciliation, lineage, and observability measures to ensure production-ready datasets.
• Manage data governance, permissions, and access controls using Unity Catalog and Immuta.
• Evaluate and implement various SAP extraction technologies including CDS views, ODP/ODQ, SLT, and APIs.
• Create reusable templates and documentation to onboard new domains and improve team engineering maturity.

What we're looking for

• 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.
• Hands-on experience with Databricks, Apache Spark/PySpark, SQL, Delta Lake, and constructing production-level data pipelines.
• Proven experience modeling and building curated datasets from SAP S/4HANA or SAP ECC using various extraction methods.
• Comprehensive knowledge of SAP business procedures and data structures in domains like finance, supply chain, procurement, or manufacturing.
• Practical experience with Unity Catalog for managing permissions, lineage, and data discovery in regulated environments.
• Working knowledge of Immuta or similar governed data access platforms including policy-based controls and masking.
• Experience applying data quality, reconciliation, testing, monitoring, and performance optimization for large-scale enterprise datasets.