Key ResponsibilitiesArchitect and scale up-to-date data solutions (ETL/ELT pipelines, data lakes, and data warehouses) across multiple major cloud platforms likeDatabricks, Snowflake, BigQuery,orMicrosoft 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 ofEnterprise Data Architectur e, data modeling, and robust ETL/ELT engineeringProduction-grade, hands-on experience in at least2 to3 of the following modern platformsDatabrick s (Delta Lake, Unity Catalog, SparkSnowflak e (Snowpark, Streamlit, Data SharingGoogle BigQueryMicrosoft Fabric