Not sure to understand completely but If you are running parallel tasks with each task executed in a given notebook with same variable names, answer is no. The scope of those variables is kind of the spark session or notebook, not the cluster.

To share "data" at cluster level you can use Cluster-Scoped Environment Variables, Global Temp Views, Databricks Secrets for confidential data or even Shared files.