“ETL” also involves data modeling. This is a thinking role beyond many people’s understanding. Quite often the “Thinkers” demand data but have very little understanding how to structure it when you get temporal aspects (slow changing dimensions etc), new types of data (rules for types) etc. These and more are quite often left/relegated to ETL guys as housekeeping. Except it isn’t. It’s architecting the house.