Data platforms must move as fast as the businesses they serve. Yet, provisioning workspaces, clusters, and secure storage for analytics often involves manual, error‑prone processes. In this session, we’ll explore how to use HashiCorp Terraform to provision Databricks Lakehouse infrastructure as repeatable, version‑controlled code. Attendees will see a live walkthrough of using Terraform to spin up Databricks workspaces, configure clusters, and integrate cloud storage, all with just a few lines of HCL and terraform apply. We’ll also discuss patterns for scaling this approach across teams, applying GitOps to infrastructure, and improving cloud cost efficiency by standardizing data platform deployment.