Databricks

• Great culture from CxO down to first-line managers and individual engineers.
• Very open communication; it's easy to reach out to product and engineering leadership and influence the roadmap.
• You will be working with top customers (S&P 500 list) and state-of-the-art cloud technology.
• Very fast pace of innovation and product excellence on the edge of Big Data and Machine Learning.
• Ability to contribute not just to your projects directly, but also through community work, including but not limited to meetups, writing blog posts, contributing to open-source projects, and helping customers through public online communities.

Many departments have this formalized. For example, in Field Engineering, there are "10x" and "Databricks Labs" venues for this that Solution Architects can work on their own projects.

• I believe in the power of open source, and Databricks is the best company that aligns with this. Most Databricks products we contribute back to open-source (Spark, Delta, MLFlow, to name a few).

Fast growth brings its own challenges. This is not applicable to all departments, though. Databricks mostly grows by adding more departments and adding verticalization, so a fast pace rarely is a bad thing here, except for the additional workload to help onboard new people.

• Raise the hiring bar even higher.