The right data engineering solution will depend on the amount of data you are dealing with as well as the tools your team has access to. Ideally, a good setup is one that's easily scalable, reliable and easy to maintain. The first step in solving the problem is to find where your existing process is getting bogged down. Reading various case studies was useful for me to see which ones worked best. There will be a few companies I read about that I saw mentioned for enterprise projects, but it's always good to look into multiple companies and pick the one that will fit your long-term plans.