The hiring process at Databricks takes an average of 60 days when considering 2 user submitted interviews across all job titles. Candidates applying for Big Data Architect had the quickest hiring process (on average 60 days), whereas Big Data Architect roles had the slowest hiring process (on average 60 days).
A recruiter contacted me about a week after submitting the application and asked to pick multiple 1-hour slots for scheduling a technical algorithms based round. I received the invite in a few days.
Interview questions [1]
Question 1
Related to finding an efficient path from source to destination with different constraints like mode of transport, cost, time etc.
I applied through a recruiter. The process took 4 weeks. I interviewed at Databricks (Atlanta, GA) in Jul 2023
Interview
Good conversation and learned a lot about the company. Fast growing company with a lot of great benefits. Asked a lot of questions about sales process and team management styles
Interview questions [1]
Question 1
What is your management style? What is your sales process? KPIs
I applied online. The process took 2 months. I interviewed at Databricks (Londres, Inglaterra) in Apr 2023
Interview
The hiring process involves the following stages: 1. Recruiter Call: Initial discussion to assess your background and fit. 2. Interview with Hiring Manager: Technical evaluation and team fit assessment. 3. Take-home Coding Test in Python: Practical coding skills assessment. 4. Technical Interview: In-depth data skills and problem-solving evaluation. 5. Presentation Panel Interview: Showcase your work and communication skills.
Interview questions [1]
Question 1
The topics covered in the discussion included Data Warehouse and Data Lakes concepts, the Dimensional Data Model, questions about PreSales and Consulting experience, as well as Spark and Data Pipelines.