DataPipelinesPermissions.md

Data Pipelines: Security & Governance

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brown9804

Last updated: 2025-05-08

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Data Pipeline in Microsoft Fabric is a workflow orchestration tool that enables users to design, schedule, and manage complex data workflows across various services and environments. It supports activities like Copy Jobs, Data Flows, Notebook executions, and Spark jobs, allowing seamless integration between OneLake, Data Warehouses, Lakehouses, and external sources. Data Pipelines are ideal for ETL/ELT automation, data transformation, and end-to-end data integration, providing a scalable and visual interface for building reliable and repeatable data processes.

List of References (Click to expand)

• Concept: Data pipeline Runs
• Quickstart: Move and transform data with dataflows and data pipelines
• Ingest data into your Warehouse using data pipelines

Note

As of now, access to Data Pipelines is controlled entirely through workspace roles (Admin, Member, Contributor, Viewer).
There is no support for assigning permissions to individual Data Pipelines or managing them through SQL-like GRANT, REVOKE, or DENY statements.

Important

Workspace roles in Microsoft Fabric (Admin, Member, Contributor, Viewer) grant access to all items within the workspace, not just Data Pipelines. This includes Dashboards, Semantic Models, Data Warehouses, Notebooks, Copy Jobs, and more. There is currently no way to assign permissions to Data Pipelines individually, access is inherited from the user's role in the workspace.

Workspace Role	Access to Data Pipelines
Admin	Full control: create, edit, delete, monitor, and manage permissions for Data Pipelines.
Member	Can create, edit, and run Data Pipelines; can also share them with others.
Contributor	Can create and run Data Pipelines, but cannot manage permissions or share them.
Viewer	Can view Data Pipelines and their status but cannot create, edit, or run them.

Refresh Date: 2025-08-06