- Minneapolis, Minnesota, United States +2 more
- Full-time · Senior
Lead the design and implementation of cloud-based and hybrid data architectures, platforms, and enterprise data solutions
Locations (3)
- Minneapolis, Minnesota, United States
- Washington D.C., District of Columbia, United States
- United States
Responsibilities
- Lead the design and implementation of cloud-based and hybrid data architectures, platforms, and enterprise data solutions
- Build, optimize, and maintain scalable ELT/ETL data pipelines utilizing Python, SQL, Spark/PySpark, and modern data platforms (e.g., Databricks, Snowflake)
- Design, develop, and deploy AI-powered solutions and automated data engineering workflows to address complex business challenges with an emphasis on responsible AI practices
- Design and operationalize ML pipelines in partnership with Data Science, covering feature engineering, training and inference data flows, model versioning, and automated retraining or scoring workflows