01 Sep
|
Paltech
|
Hyderabad
Key Responsibilities Architect and scale up-to-date data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms like Databricks, Snowflake, Big Query, 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 Big Query Microsoft Fabric
📌 Enterprise Data Architect ( Snowflake/databricks) (Hyderabad)
🏢 Paltech
📍 Hyderabad