Here are some steps you can take to address this issue:

1. Update dbt-databricks Version: Ensure that you are using the latest version of dbt-databricks. The issue has been addressed in version 1.7.14, which includes changes to connection management and logging improvements.

2. Adjust Connection Settings: Modify the connection settings in your dbt profile to reduce the likelihood of idle connections being closed. Specifically, you can set the connect_max_idle parameter to a lower value, such as 60 seconds. This setting ensures that connections are not idle for too long, which can help prevent them from being closed unexpectedly.

   Example configuration:
   
   

   connection_parameters:
     connect_max_idle: 60

3. Increase Connection Retries: Increase the number of connection retries and the timeout settings to provide more resilience against transient connection issues.

   Example configuration:

connect_retries: 6
connect_timeout: 600
_socket_timeout: 1200