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databricks Platform · Updated Oct 5, 2026

Run Lakeflow pipelines as a group

You can now set a pipeline's run as identity to an account group, in addition to a user or a service principal.

Update Open docs ↗release note ↗
What it does

You can now set a pipeline's run as identity to an account group, in addition to a user or a service principal. Pipeline updates run with the group's permissions, so a team can own an automated pipeline without tying it to one person's account. Configure the basic settings for a pipeline, including source code, target catalog and schema, compute, and pipeline mode, in the workspace UI.

Why it matters

Use Cluster tags to help monitor costs associated with pipelines.

Key capabilities
Select a Worker type optimized
Select a Worker type optimized for the workloads configured in your pipeline.
You can optionally select a
You can optionally select a Driver type that differs from your worker type. This can be useful for reducing costs in pipelines…
Workspace access permission to operate
Workspace access permission to operate within the workspace
Can use permission on cluster
Can use permission on cluster policies used by the pipeline
Recommended use cases
including developmenttesting
Architecture
Databricks Platform → Platform
In short

You can now set a pipeline's run as identity to an account group, in addition to a user or a service principal. Pipeline updates run with the group's permissions, so a team can own an automated pipeline without tying it to one person's account.

Read the full documentation ↗
Key takeaway
You can now set a pipeline's run as identity to an account group, in addition to a user or a service principal.
2026-10-05-run-lakeflow-pipelines-as-a-group Generated by the Databricks Updates Agent · browse all updates