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This article describes the roles required to create and manage Azure Data Factory resources, and the permissions granted by those roles.
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This article describes the roles required to create and manage Azure Data Factory resources, and the permissions granted by the Data Factory Contributor role.
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## Roles and requirements
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To create Data Factory instances, the user account that you use to sign in to Azure must be a member of the *contributor* role, the *owner* role, or an *administrator* of the Azure subscription. To view the permissions that you have in the subscription, in the Azure portal, select your username in the upper-right corner, and then select **My permissions**. If you have access to multiple subscriptions, select the appropriate subscription.
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Most roles needed for Azure Data Factory are some of the standard Azure roles, though there is one special Azure Data Factory role: **Data Factory Contributor**
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To create and manage child resources for Data Factory - including datasets, linked services, pipelines, triggers, and integration runtimes - the following requirements are applicable:
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**To create Data Factory instances**, the user account that you use to sign in to Azure must be a member of the *contributor* role, the *owner* role, or an *administrator* of the Azure subscription. To view the permissions that you have in the subscription, in the Azure portal, select your username in the upper-right corner, and then select **My permissions**. If you have access to multiple subscriptions, select the appropriate subscription.
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**To create and manage child resources for Data Factory** - including datasets, linked services, pipelines, triggers, and integration runtimes - the following requirements are applicable:
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- To create and manage child resources in the Azure portal, you must belong to the **Data Factory Contributor** role at the **Resource Group** level or above.
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