Architect and implement data lake and/or data warehouse solutions (ingestion, storage, transformation, serving) using S3, Glue, Redshift, Athena, and related services.- Build and optimize ETL/ELT workflows with Spark, Glue, Lambda, Step Functions, and orchestration frameworks (Airflow, Dagster).- Field domain data team build and manage data pipelines, create pipelines to collect data from multiple sources (databases, APIs, files), transform, and move data into storage systems (Data Mesh/data lakes / warehouses), Automate ETL (Extract, Transform, Load) workflows.