31 Aug
|
Paltech
|
Mumbai
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 Architectur e, data modeling, and robust ETL/ELT engineering Production-grade, hands-on experience in at least
2 to
3 of the following up-to-date platforms Databrick s (Delta Lake, Unity Catalog, Spark Snowflak e (Snowpark, Streamlit, Data Sharing Google BigQuery Microsoft Fabric
📌 Enterprise Data Architect ( Snowflake/Databricks) (Mumbai)
🏢 Paltech
📍 Mumbai