dbt Labs created dbt (data build tool), the open-source framework that defined the analytics engineering discipline — transforming raw warehouse data with version-controlled, tested SQL. dbt is the standard transformation layer in the modern data stack, used alongside Snowflake, BigQuery, Databricks, and Redshift at tens of thousands of data teams. The dbt Analytics Engineering Certification validates production-level skill in building, testing, documenting, and deploying dbt projects.
Analytics engineer has become one of the fastest-growing data roles, and dbt proficiency is its defining skill. The dbt certification is the recognized credential for the transformation layer of the modern data stack and appears in job postings for analytics engineering, data engineering, and BI roles at organizations running dbt in production.
dbt Labs · dbt-AE
Validates a candidate's ability to build, test, and maintain dbt projects by applying engineering best practices to analytics infrastructure. Requires SQL proficiency and at least six months of hands-on experience with dbt or dbt Core.