Airbnb
Mid
Build the distributed data access layer powering Airbnb system-of-record storage
Airbnb Unified Data Store team builds the globally distributed storage platform behind user, listing, reservation, and financial data for over 150 million users. This interview focuses on distributed systems fundamentals, data access layers, schema tooling, and production reliability, for engineers who want to go deep on infrastructure that every product team depends on.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Distributed system-of-record storage design
- Data access layer abstractions covering indexing, replication, security, and lifecycle
- Schema tooling and automation for developer productivity
- Debugging and migrating production data systems
- Owning and diving deep into a complex existing codebase
- Communicating infrastructure decisions to product engineering teams
Common question themes
Describe a distributed storage or data access system you designed and operated
How would you abstract away storage or replication complexity behind a unified API
Tell me about building tooling to define, test, or deploy data schemas at scale
Walk through debugging a production data system issue with unclear root cause
How do you approach owning and modifying a large codebase you did not write
Where have you used AI tools to accelerate infrastructure or tooling work