Join Health Catalyst as a Principal Snowflake Data Engineer & Data Engineering Lead to lead and shape the future of data architecture and engineering in a high-impact, cloud-native environment. The role involves technical leadership, team management, and operational excellence.
Requirements
- 8–10 years of data engineering experience with at least 4–5 years of hands-on Snowflake expertise
- Proven leadership of cross-functional data teams (ETL, Data Operations, data synchronization)
- Deep expertise in Snowflake internals, Streams, Tasks, Snowpipe, Materialized Views, UDFs, data governance (RBAC, secure views, masking policies)
- Strong SQL and data modeling (dimensional & normalized)
- Hands-on experience with Apache Spark, PySpark, AWS Glue, orchestration frameworks (Airflow, dbt, Dagster, or AWS Step Functions), CI/CD and Git-based workflows
- Strong understanding of data lakes, especially Delta Lake on S3 or similar
Benefits
- Flexible remote work options, high autonomy, and strong support for career development
- Lead and shape the future of data architecture and engineering in a high-impact, cloud-native environment
- Be the go-to Snowflake expert and technical mentor across the company
- Enjoy the opportunity to manage teams, drive innovation, and influence strategy at scale