Best Practices for Running dbt on Databricks: From SQL Models to Production Pipelines

Many teams use dbt to standardize transformations, but still struggle with brittle orchestration and inconsistent governance. This session shows how to run dbt on Databricks as part of a unified analytics engineering workflow, from SQL models through production pipelines. We’ll cover proven patterns for building a medallion-style architecture, orchestrating dbt jobs directly in Databricks, and applying governance and observability using Unity Catalog for a faster, more reliable delivery of analytics-ready data at scale.