If you work at a small startup - they are mostly parroting what large and mid-size companies are doing - regardless of the fact that they're likely to fail before they get to that size, and doing said thing might make their chances of failure higher.

If you work at a large company - having a larger pool of candidates to hire from is definitely worthwhile.

And, it is much easier to have a poor understanding of Databricks than a very good understanding of data engineering in general.

Someone with a poor understanding of Databricks might be able to do 80% of what you can do with a great understanding of data engineering in general.