In a customer-facing role, sometimes customer values are misaligned to company values. This is true of all companies, not just Databricks.
A fast-growing company means a fast-changing company. Along with normal duties, one is expected to "keep up with the Jonses" on relevant advances. Constant change can be a stressor.
DEI is lacking. They put in a good effort in this area, but maybe the fact that effort is required is problematic. It should not be difficult to be diverse, equitable, nor inclusive.
Give 2 hours per week for self-improvement time to keep up with the constant changes.
Clear structure as far as stages are concerned. Although I have not had strict Databricks/Spark experience, I was approached by the Databricks recruiter. I was given the opportunity to go ahead with the interview and passed the technical stages. I wa
Rejected in the last round as they found a cheaper candidate. No concrete feedback has been shared yet. There were many rounds to prepare a candidate, but then there is no proper feedback which helps you get an offer.
The process consisted of six rounds over nearly two months, including: * A take-home technical coding assignment * Technical deep dive (Spark, cloud, architecture) * Project delivery discussion * Architecture & SME panel * Executive round
Clear structure as far as stages are concerned. Although I have not had strict Databricks/Spark experience, I was approached by the Databricks recruiter. I was given the opportunity to go ahead with the interview and passed the technical stages. I wa
Rejected in the last round as they found a cheaper candidate. No concrete feedback has been shared yet. There were many rounds to prepare a candidate, but then there is no proper feedback which helps you get an offer.
The process consisted of six rounds over nearly two months, including: * A take-home technical coding assignment * Technical deep dive (Spark, cloud, architecture) * Project delivery discussion * Architecture & SME panel * Executive round