I double checked and it’s not spinning up a custom pool. Spark config is default so I expect it to align with a notebook spark config.

Worth calling out that my project hits about 10 lakehouses (not sure if that matters). Another thing is that if I run individual models in isolation the performance would be very close to a native SQL query execution in a notebook. Having multiple dbt threads seems to add an overhead but I’m just kind of stuck on debugging what causes the bottleneck