Design a Data Pipeline for Zillow

Last updated: August 27, 2025

Quick Overview

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

Zillow
System Design
Software Engineer
Zillow
August 27, 2025
Software Engineer
Technical Screen
System Design
Easy

14

3

3,435 solved


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

System design interviews at Zillow 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
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Message queues and async processing
Security and authentication
Failure handling and fault tolerance
High-level architecture and component design
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
  • What monitoring and alerting would you set up on day one?
  • How would you implement rate limiting to protect the system?
  • How would you handle a region-wide outage?
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Sample Answer
Requirements
  • Functional Requirements:
    1. Ingest data from multiple sources including user interactions, property listings, and external APIs.
    2. Process and transform data for analytics and reporting...
Capacity Estimation

Assuming Zillow handles approximately 10 million property searches per day, with each search triggering an average of 5 data events, we can estimate:

  • Total Events Per Day:
    10 million searc...

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