Design a Load Balancing for Databricks

Last updated: March 8, 2026

Quick Overview

Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Databricks
Software Engineering Fundamentals
Software Engineer
Databricks
March 8, 2026
Software Engineer
Onsite
Software Engineering Fundamentals
Medium

79

5

3,421 solved


Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Databricks asks this during the Onsite to assess your depth in software engineering. They want to see understanding of design patterns, system architecture, and the trade-offs involved in different technical approaches.

What the Interviewer Expects
  • Apply engineering principles to a realistic design scenario
  • Discuss trade-offs between different approaches with concrete examples
  • Demonstrate understanding of testability, maintainability, and extensibility
  • Connect theoretical concepts to production engineering practices
  • Discuss how the approach scales with team and codebase size
Key Topics to Cover
Design patterns (Factory, Observer, Strategy, etc.)
Concurrency and thread safety
CI/CD pipelines
Testing strategies (unit, integration, e2e)
How to Approach This
  1. Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
  2. Choose data structures based on access patterns, not familiarity.
  3. Prefer immutable data and message passing over shared mutable state for concurrency.
  4. Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
  • What are the security implications of this design?
  • What testing strategy would you use for this component?
  • How would you document this for other engineers?
  • How would you measure the performance of this component in production?
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Sample Answer
Core Design Principles

For designing a high-throughput load balancing system for Databricks, the core design principles of Scalability, Fault Tolerance, and Loose Coupling are paramount. Scalability is crucial b...

Architecture

The proposed architecture involves a microservices-based approach utilizing Kubernetes for orchestration. The load balancer will comprise several services: an API Gateway to route requests...


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