Pros: Employees are very smart. Growing company, you get to learn a lot.

Cons: WLB is terrible, expectations are too high.

Pros: The people that make up the Databricks community, both within and outside engineering, are the most talented, caring, and humble that I have ever worked with. Everyone is incredibly smart, but there is not a trace of ego in the company -- making it a great place to learn, grow, and make an impact. In addition, the company's original three bets -- cloud, open source, and AI -- are paying off big time. Databricks simply has by far the best product out there for unified data science and AI, and we believe the best is yet to come. There's ample room in the market for the company to grow several orders of magnitude bigger. Every successful organization will be AI-driven in the next ten years, so everyone is a potential customer -- which is why it is still as exciting and motivating to work here even after 5 years of unprecedented growth. Last, but not least, the unified analytics platform we are building is at the forefront of technology innovation, and Databricks challenges engineers to innovate in everything from distributed systems, security engineering, machine learning, and user experience.

Cons: Databricks does not tolerate "brilliant jerks." We've had our share of really smart engineers that had to do things "their way or the highway." Well, those folks took the highway. If you can't work well in a team and occasionally disagree and commit to supporting directions other than your own, Databricks isn't for you. We all believe in sacrificing a little bit for each other here, which is why it is such a great community to work with.

Pros: Very competitive pay and smart people

Cons: Too much top-down leadership.