Key Responsibilities
- Architect and scale modern data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like Databricks, Snowflake, BigQuery, or Microsoft Fabric.
- Define standard patterns for integrating operational application layers with analytical data systems seamlessly.
- Maintain a hybrid approach by remaining hands-on with architecture blueprints, system design, prototyping, and high-impact code reviews.
Technical Requirements & Qualifications:
- Deep, practical knowledge of Enterprise Data Architecture, data modeling, and robust ETL/ELT engineering
- Production-grade, hands-on experience in at least 2 to 3 of the following modern platforms
- Databricks (Delta Lake, Unity Catalog, Spark
- Snowflake (Snowpark, Streamlit, Data Sharing
- Google BigQuery
- Microsoft Fabric
