High level of individual ownership leads to variations in engineering rigor across the org. It's the right thing not to try too hard to rein it in and stifle autonomy, but it can lead to frustrating experiences at time. Simply put, this is not a company where every candidate can succeed. I recommend Databricks as a place to work, but for a large number of people I find I have to qualify that recommendation. Not a suitable company to coast. WLB is decent and better than at many of our peers, but falls far short of several popular alternatives with comparable or easier interviewing bars. Databricks is less willing to give out higher titles to ICs or grant higher org sizes to managers than most of our peers. Projects are more likely to be understaffed. Weak internal mobility stifles growth, especially for less assertive folks. Not a suitable company to be narrowly focused on one-dimensional output. Compared to more metrics-driven companies, Databricks requires individuals take broader ownership and is less equipped to reward narrow specialists or goal-seeking. If the above does not dissuade you, then I think Databricks is one of the best companies to work for on the market.
