Primary hiring signals

  • data modeling rigor
  • query performance
  • platform thinking

Phone screen

  1. Recruiter or role-fit screen focuses on warehouse/lakehouse relevance and level.
  2. Technical screen often checks SQL depth, performance reasoning, and architecture fundamentals.

Full interview loop

  1. Recruiter and technical screening.
  2. Onsite usually mixes SQL, coding, architecture/system design, and platform thinking.
  3. Behavioral round evaluates ownership, communication, and technical judgment.

How much prep time is required?

4-6 weeks for strong data engineers; 6-8 if warehouse performance and modeling are not daily strengths.

How to prepare

  • Practice warehouse schema design, partitioning/clustering, and query optimization reasoning.
  • Bring stories on platform reliability, governance, and scaling analytical workloads.
  • Be ready to explain maintainability and cost/performance trade-offs with clarity.

First 5 behavioral prompts to rehearse

  1. Tell me about a high-impact schema redesign.
  2. Describe optimizing a costly workload.
  3. Tell me about aligning with security/governance constraints.
  4. Describe preventing recurring data quality incidents.
  5. Tell me about collaborating with analytics and platform teams.

Pair this with the Behavioral track, then run two timed mock loops using these prompts + one SQL + one system-design round.

Also keep one primary technical track active: System Design or Coding. This avoids context-switching and keeps weekly prep focused.