One thing that has worked well for us is to alway include the top-most parent key in all child tables down yhe hierarchy. This way we can load all the data for say an order without joins/exists.
Oh and never use natural keys. Each time I thought finally I had a good use-case, it has bitten me in some way.
Apart from that we just try to think about the required data access and the queries needed. Main thing is that all queries should go against indexes in our case, so we make sure the schema supports that easily. Requires some educated guesses at times but mostly it's predictable IME.
Anyway would love to see a proper resource. We've made some mistakes but I'm sure there's more to learn.
With that said, this still sounds like a strange situation - most colleagues, acquaintances and people I consulted know they way around SQL and dropping down to 'dbset.FromSql($"SELECT {...' is very commonplace out of the need to use sprocs, views or have tighter control over the query.
But schema design is something else. I still take my time doing that.
Especially since our application is written with backwards compatibility in mind, so changing schema after it's deployed is something we try very hard to avoid.
But yeah, when hiring we require they are comfortable writing "normal" SQL queries (multiple joins, aggregation etc).
The neat thing is, you don't. Nobody ever avoids fucking up db design.
The best you can do is decide what is really important to get right, and not fuck that part up.
P.S. to the original person concerned about this though… for your own sake and your successors, please keep trying.
Just do the exercise of deciding what is really important first, so you can make sure you succeed for that stuff.