Snowflake DBT Engineer

Required

14 years in data engineering or data warehousing, including 7+ years of hands-on dbt and Snowflake work.
Expert, hands-on dbt experience: you’ve built models, written tests, and deployed them to production yourself.
Expert Snowflake experience, including architecture, performance tuning, and SQL optimization.
Proven work designing and building enterprise-scale star-schema (dimensional) data models.
Hands-on experience automating SQL workloads and data processes.
A track record of working on your own, solving data problems from start to finish, and leading technical design decisions.
Hands-on experience with GitHub for version control and team development.

Preferred

Data Vault modeling.
Azure Data Factory (ADF), Azure Synapse, or Microsoft Fabric.
GitHub Actions and Terraform.
Python for data engineering and automation.
Experience using AI in data work.
Experience with API data integration.
Observability tools such as Datadog.
SnowPro, DP-203, or similar cloud data certifications.