Take a look here on how to create "SQL Functions to manually apply as Row Filters" as it seems to be the most simple approach : https://docs.databricks.com/gcp/en/data-governance/unity-catalog/filters-and-masks/manually-apply#ro... https://docs.databricks.com/aws/en/data-governance/unity-catalog/abac/udf-best-practices 

After creating those SQL Functions, you should apply to tables or materialized views, in a way similar to this: https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/filters-and-masks/m... 

Then, select those tables or views from the dashboards data sources. The SQL function acting as "Row Filter" will filter rows automatically as per your desired parameters.

Partial sample here BUT use table in dashboard instead of DLT: https://medium.com/@aryan.sinanan/databricks-apply-row-filters-sql-or-py-dlt-4f369681e1fe