As data engineers, we tend to overcomplicate matters. Nobody really cares whether we use a data warehouse or a data lakehouse. We just need a place to store and process our data into insights. In this talk, I'll propose a minimum viable data stack for the masses based on four fundamental principles: automatability, testability, observability, and reproducibility.