Hi @Askenm 
In Databricks Premium, the Docker option for custom images is not available on all compute types and is not controlled by user level permissions. Custom Docker images are only supported on Databricks clusters that use the legacy VM based compute with the standard access mode, and they are not available on serverless compute, shared access mode, or some newer simplified cluster UIs. If you do not see the Docker option in the advanced settings, it usually means your workspace or selected compute type does not support custom container images. There is no underlying configuration you can change to enable this in those cases. The recommended alternatives are to use init scripts to install and activate conda on cluster startup, use Databricks supported environments such as ML runtimes which include conda, or manage Python dependencies using Databricks libraries. If Docker based compute is a strict requirement, you would need to ensure the workspace allows legacy clusters and that you select a compatible runtime and access mode.