Responsibilities:

• Model and transform data into consistent analytical structures.
• Build and optimize ELT pipelines and quality tests.
• Ensure clear documentation (business rules, lineage, transformation logic).
• Monitor datasets, quality, SLAs, and performance.
• Support DS/BI/ML with reliable data and semantic layers.
• Collaborate closely with DE/DS/MLE/PO for integrated and value-driven deliveries.

Technical Skills:

• Advanced Data Modeling and Architecture: Expertise in star schema, dimensional modeling, medallion architecture, schema evolution management, and semantic layer design.
• Large‐Scale Semantic Layer & Data Model Optimization: Building and optimizing large-scale models, ensuring performance, consistency, and governance.
• Pipeline Orchestration and Automation: Experience with ETL/ELT tools like Azure Data Factory, Apache Airflow, Microsoft Fabric, Databricks Workfl...