Design a Data Pipeline for Roblox

Last updated: December 2, 2025

Quick Overview

Design a geo-distributed data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Roblox
System Design
Product Manager
Roblox
December 2, 2025
Product Manager
Technical Screen
System Design
Hard

48

14

4,176 solved


Design a geo-distributed data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

System design interviews at Roblox typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Partitioning and sharding strategies
Monitoring, logging, and alerting
High-level architecture and component design
Consistency models and replication
Requirements gathering and capacity estimation
Caching strategies (local, distributed, CDN)
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you migrate from a monolithic to a microservices architecture?
  • How would you implement rate limiting to protect the system?
  • How do you ensure data consistency across multiple services?
  • What would the deployment pipeline look like for this system?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For Data Pipeline for Roblox, key functional requirements include: what a...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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