How to manage shared parameters between different jobs?

flourishingsing — Fri, 13 Feb 2026 15:42:47 GMT

I have few jobs that run serverless. Currently there is only one task for each job. These tasks have multiple parameters, some of which are shared between the jobs, some are unique to each jobs.

Is it possible to define all the parameters for all the jobs in a centralised location and then reference it for each task?

job.yml:

tasks: - task_key: my_key spark_python_task: python_file:my_path parameters: ${var.default_serverless_parameters} environment_key: my_environment_key

serverless_parameters.yml

variables: default_serverless_parameters: description: "My list of parameters" type: complex default: - --param1 - ${value1} - --param2 - ${value2}

databricks bundle validate accepts the above but when I try to run it, I get the following error:

TypeError: spark_python_task.parameters must be a list

Re: How to manage shared parameters between different jobs?

Pat — Sun, 15 Feb 2026 23:02:42 GMT

It's weird, I have tried your definition and it works well when I repleace ${value1} and ${value2}. Not sure how you are using those, you should prefix with var. or use some static. values, like I did.

topic How to manage shared parameters between different jobs? in Data Engineering

How to manage shared parameters between different jobs?

Re: How to manage shared parameters between different jobs?