Terraform vs Bicep for Azure Databricks: which tool for which layer
Bicep deploys the workspace, but nothing inside it speaks ARM. Why you need Terraform, and where Databricks Asset Bundles actually fit.
Independent Azure Databricks consultant
I build reliable data engineering on Azure Databricks and make data usable with Unity Catalog, AI/BI and Genie: from source system to self-service.
Azure · Databricks · Unity Catalog · AI/BI
Blog
Bicep deploys the workspace, but nothing inside it speaks ARM. Why you need Terraform, and where Databricks Asset Bundles actually fit.
A recap of Databricks Data + AI Summit 2026 in San Francisco, focused on what is relevant if you run data engineering and AI/BI on Azure Databricks.
A fair, up-to-date comparison of the two leading ways to transform data on Databricks: what each does well, where each falls short, and how to choose.
What I do
One focus: making the Databricks Data Intelligence Platform on Azure deliver. Reliable pipelines, clear governance, and data people actually use.
Reliable pipelines on Azure Databricks, from source system to the Gold layer.
One governance layer for access, lineage and data quality across the Lakehouse.
Make the Lakehouse usable: self-service dashboards and questions in plain language.
Interactive applications and operational data on top of the Lakehouse.
A no-obligation conversation about your Azure Databricks, Lakehouse or AI/BI challenge. I'm happy to think along.
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