I agree especially on these two points: * it's counter-productive in a number of ways to create a data ghetto where they can do whatever they need to do. It d

I agree especially on these two points: * it's counter-productive in a number of ways to create a data ghetto where they can do whatever they need to do. It doesn't engender trust or communication between Infra/SRE/DataEng/DataSci teams, and leads to "throw it over the wall" behavior. * we need to adapt to how we serve their needs, not the other way around. It's a lot more likely to be successful if we are the ones who start bridging the gap. Data engineers are pretty specialized at enabling data scientists to do their job, they don't necessarily share the same skillset as Infra/SRE engineers.