Databricks RBAC Explained: Why Groups Are the Only Layer You Actually Build

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A technical guide for Databricks on AWS outlines how role-based access control (RBAC) works across account-level groups and workspaces. The author argues that most access control layers — including workspace assignments, entitlements, object ACLs, and Unity Catalog grants — are Databricks built-ins, not custom designs. The only element engineers truly create are function-role groups, such as ai_admin, ai_engineer, and ai_analyst, which act as intermediaries between users and permissions. These account-level groups can be assigned to multiple workspaces at either USER or ADMIN level using Terraform's databricks_mws_permission_assignment resource. Keeping the group set minimal and avoiding pre-built roles for hypothetical personas is recommended to reduce churn and maintain a manageable infrastructure-as-code footprint.

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ProgrammingDEV Community ·

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