Databricks Interview Questions
Practice 131 real Databricks interview questions for 2026. Covers all top categories — Coding & Algorithms, System Design, Behavioral & Leadership, Statistics & Math, Software Engineering Fundamentals — across Software Engineer, Data Scientist, Machine Learning Engineer, and Data Engineer roles. Real questions from actual interviews with detailed solutions; this collection explains what’s distinctive about Databricks interviews, what interviewers evaluate, what to expect in each round, and how to structure your interview preparation. Expect a heavy software-engineering tilt: Software Engineer rounds repeatedly probe storage and data-platform design (hierarchical file systems, cache designs, lakehouse tradeoffs), distributed job scheduling and dependency-aware pipelines, concurrency and multithreaded systems (synchronous log writers, thread-safe KV stores), and performance-focused algorithmic problems and query optimizations. Data Scientist questions emphasize regression assumptions and coefficient transformations, similarity search across datasets, hypothesis testing and metric tradeoffs (ROC-AUC vs PR-AUC), and product-analytics counting problems. Machine Learning Engineer prompts focus on implementing algorithms (gradient descent, lazy arrays) and safety/OOM detection for models. Data Engineer coverage targets data-quality diagnostics, Spark/partitioning and pipeline performance. To prepare, prioritize timed coding practice, system-design sketches that show tradeoffs for data systems, concise statistics explanations, and polished STAR stories for behavioral rounds.
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Describe project impact and critical feedback
Prepare for two behavioral prompts commonly asked in a software engineering onsite interview: 1. Describe a project you are proud of Explain the bu...
Design a multi-threaded synchronous log writer
This question evaluates a candidate's understanding of concurrent programming, durable I/O, synchronization primitives, ordering guarantees, and syste...
Design concurrent range-aware file caching client
Design concurrent range-aware file caching client System Design: High-throughput Client-side Ranged-read File Cache You are asked to design and specif...
Optimize least-k revenue queries for read/write load
Follow-up Scenario Now assume revenue is not provided as a flat list of events, but may be nested, for example: - Each customer has many orders, and e...
Design a thread-safe bounded queue
Design a Thread-Safe Bounded MPMC Queue with Timeouts and Fairness Context You are building a reusable, in-memory, bounded queue that supports multipl...
Design a dependency-aware job scheduler
This question evaluates understanding of designing scalable, dependency-aware job schedulers and related competencies in distributed systems, includin...
Track Customer Revenue and Referral Revenue
Track Customer Revenue and Referral Revenue Problem Implement a top-level function that processes an in-memory customer revenue tracker through a lite...
Design an n x n Tic-Tac-Toe Game
This question evaluates a candidate's ability to design a class-based data structure that tracks game state and efficiently detects a win condition af...
Identify and handle race conditions
Concurrency in an In-Memory Key-Value Store and Hit Counter Context and Assumptions Assume you are implementing an in-memory key-value store and a hit...
Design a multithreaded event logger
This question evaluates a candidate's competency in concurrent programming, synchronization primitives, ordering guarantees, and durable logging mecha...
Design a digital game shop backend
This question evaluates system design skills including transactional data modeling, API design, service decomposition, and reliability concerns for mo...
Explain storing files to disk with concurrency
This question evaluates systems programming concepts (OS I/O, page cache, fsync semantics) and Java concurrency mechanisms (thread-safety, synchroniza...
Design a generic key-value store
Design a Generic, Type-Safe Key-Value Store API Context You're asked to design a reusable key-value store with a generic, user-friendly API. The store...
Find k customers with least revenue
Problem You are given a list of purchase events. Each event contains: - customer_id (string or int) - amount (integer, may be 0; assume non-negative u...
Resolve a Design Conflict
This question evaluates conflict resolution, stakeholder management, technical decision-making, and collaborative leadership skills within a Machine L...
Design CRUD APIs with async jobs
This question evaluates a candidate's ability to design backend services that combine CRUD operations with asynchronous background job processing, emp...
Explain Linear Regression Assumptions
This question evaluates understanding of ordinary least squares linear regression assumptions and their implications for unbiased coefficient estimate...
Design Harmful Content Detection
This question evaluates a candidate's ability to design scalable, robust machine learning systems for multimodal content moderation, encompassing comp...
Implement Gradient Descent Regression
This question evaluates understanding of linear regression and gradient-based optimization, including loss formulation, gradient derivation, parameter...
How do you handle conflicting interviewer hints?
In a technical interview, you are solving a problem and have a clear approach in mind. The interviewer offers a hint that appears to push you toward a...