AI/Data-Native
Databricks Interview Process & Prep Guide (2026)
Difficulty: Very High
Interview process
Recruiter screen -> technical screen -> onsite (coding, distributed-systems/data design, domain depth, behavioral)
What Databricks screens for
Data engineering & distributed systems, Spark/lakehouse depth, coding
Culture & values
Customer obsessionraise the bartruth-seekingownership
How to prepare
Know Spark/distributed data deeply; strong coding; prepare data-platform design
Roles Databricks hires
Data Engineer, ML Engineer, MLOps Engineer, Software Engineer, Data Architect, Solution Architect
Preparing for Databricks?
PrepNPlaced builds your company game plan, an ATS-ready resume, and real interview practice for this exact process.
Build my Databricks game plan →