Hi @camilo_s, You’re not alone in your desire for more streamlined access management in Databricks!
Currently, access to jobs is handled on a per-job basis, which can become cumbersome when dealing with multiple workflows. However, there isn’t a built-in feature for defining job scopes or folders with hierarchical access permissions.
That said, it’s a valid request, and I recommend keeping an eye on Databricks’ roadmap. While I don’t have specific information about upcoming features, the platform continually evolves, and user feedback often drives enhancements. In the meantime, you might consider organizing your jobs using naming conventions or other metadata to help manage access more effectively.
If you’d like to explore more about Databricks’ access controls and permissions, you can check out their video guide on workspace access controls. Hopefully, future updates will address your need for a more structured approach to job access management!