Architect and scale contemporary 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 engineeringProduction-grade, hands-on experience in at least 2 to 3 of the following modern platformsDatabricks (Delta Lake, Unity Catalog, SparkSnowflake (Snowpark, Streamlit, Data SharingGoogle BigQueryMicrosoft Fabric