About this role
Work with engineering teams to ensure data flows accurately from creation to presentation layers Improve the data technology stack through containerization, data modeling, ETL pipeline development, and building scalable/reliable solutions Support existing on-prem infrastructure and help expand into the cloud (AWS/Databricks) 5+ years of professional/industry experience Expertise in SQL, data modeling, lakehouse architecture, and Python Experience with Redshift, Airflow, AWS QuickSight, Databricks, Spark, and relational databases (e.g., SQL Server) Ability to drive initiatives and articulate their value to engineering and stakeholders Experience delivering data products from conception to delivery Strong written and verbal communication skills Experience facilitating workshops across disparate groups Passion for designing elegant data solutions and platforms