@Rahul Samant​ :

Based on the JSON payload you provided, it looks like you are using the DatabricksSubmitRunOperator in Airflow to submit a Databricks job run. To pass the run_as_user_name parameter, you can add it as a top-level parameter in the json dictionary like this:

"json": {
    "existing_cluster_id": "{{ env.existing_cluster_id }}",
    "dbt_task": {
        "project_directory": "",
        "commands": [
            "dbt deps",
            "dbt run --select models/ZZZZ"
        ],
        "schema": "kpi",
        "warehouse_id": "XXXXXX"
    },
    "git_source": {
        "git_url": "https://axxxx-dbt",
        "git_provider": "azureDevOpsServices",
        "git_branch": "master"
    },
    "run_as_user_name": "user@test.com"
}

Make sure that the value of run_as_user_name is a valid Databricks user name or email address with the appropriate permissions to access the necessary resources.