Great company, fast-paced, and at the forefront of Data and AI
Great company, fast-paced, and at the forefront of Data and AI
- Tremendous learning opportunities
- Very smart and accomplished peers
- Good compensation and perks
- Very fast-paced.
- Need to balance a lot of different roles at once.
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Databricks Interview Questions
Databricks Interview Experiences
Solutions Architect
Long and fair process. Recruiters and hiring managers were prompt and provided guidance throughout the process. The process started with a hiring manager interview, then a technical round with an SA, a take-home assessment on Python, SQL, etc., a p
Solutions Architect
Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv
Solutions Architect
The interview process was as follows: * HR Phone Screen (Role and Logistics) * Technical Interview (Data Science, Data Engineering) * Coding Assignment (SQL queries, Spark optimization, Machine Learning) * Technical Interview (Architecture Whiteboar
Solutions Architect
New York, New York, United StatesJune 22, 2022Long and fair process. Recruiters and hiring managers were prompt and provided guidance throughout the process. The process started with a hiring manager interview, then a technical round with an SA, a take-home assessment on Python, SQL, etc., a p
Solutions Architect
New York, New York, United StatesJanuary 1, 2022Bright folks at all stages. The interview is not easy, but help is provided if you ask. 1. Call with recruiter. 2. Talk to the hiring manager. 3. Technical round. 4. Take-home test, covering Data Engineering/Science, ML, and SQL analytics. 5. Interv
Solutions Architect
New York, New York, United StatesJanuary 1, 2022The interview process was as follows: * HR Phone Screen (Role and Logistics) * Technical Interview (Data Science, Data Engineering) * Coding Assignment (SQL queries, Spark optimization, Machine Learning) * Technical Interview (Architecture Whiteboar
