How scary deep end to end ownership of some kind of a data analytics pipeline solution is, depends on a lot on organizational maturity which based on what I've seen is not high when it comes to data. In-house developers are avoiding these kinds of responsibilities not due to a lack of skill or ambition but because your job just becomes "churn dashboard e2e pipeline expert". You somehow can not be a T shaped developer and use your broad expertise in hopping in and out of projects and domains.

Stakeholders prefer a single point of dev contact so you can never get rid of the role, and you can only repeat that for so many domains or solutions before you run out of hours in the day. Trying to spread this ownership across a team results into either horizontal or vertical specialization which are the two dysfunctions. I'm not sure why this is like this in data.