What shows up most at Databricks
These are the question clusters that appear most often in the raw records and should shape how candidates allocate prep time.
Tree and recursion problems
12 mentionsExpect binary tree traversal, recursive algorithms, and problems requiring structured decomposition and thoughtful follow-up solutions.
Coding and LeetCode-style screens
11 mentionsCoding challenges assess algorithm knowledge, problem-solving speed, and high-quality initial code implementation.
Array and sorting questions
4 mentionsCommon array manipulation tasks, including counting, sorting, and using two-pointer techniques to optimize solutions.
Where Databricks puts the most pressure
The stage distribution tells candidates where the loop concentrates effort and what kind of reasoning tends to matter most in each round.
Phone Screen
14 recordsThe Phone Screen focuses on coding problems, testing quick problem-solving and basic algorithm knowledge, with follow-up questions on time and space complexity.
Technical Interview
4 recordsIn-depth coding challenges and real-world system design questions, where candidates are expected to implement solutions efficiently with optimal space and time performance.
Onsite
4 recordsExpect additional system design problems, collaborative coding sessions, and further exploration of problem-solving strategies, including scalability and space optimization.
Outcome mix
What Databricks usually signals
Representative questions from the visible record set
These examples help users understand the concrete question flavor without dumping the entire raw database into the public page.
Design a hit counter using a key-value store.
Design a hit counter using a key-value store. Implement the following features:
Implement a sliding window to record and calculate the change in queries per second (QPS) over the past 5 minutes.
Implement a sliding window to record and calculate the change in queries per second (QPS) over the past 5 minutes. Assume the system receives a…
The original problem statement is not included in the post (only a Hack2Hire link and mentions of fo…
The original problem statement is not included in the post (only a Hack2Hire link and mentions of follow-ups about handling duplicates and prio…
How to prepare for Databricks
The prep layer should stay practical: what to review, which LeetCode patterns recur, and how GhostInterview fits the live round instead of just prep week.
Prep focus
Use GhostInterview during the actual interview
GhostInterview is not just for prep. Use it during live interview loops and follow-up pressure while the conversation is still happening. On supported platforms, the overlay is designed to stay hidden on screen share.
Related LeetCode patterns
These are the recurring problem families worth reviewing before a similar loop.
Tree
Trees are a key data structure for many Databricks coding problems, requiring efficient traversal and recursion techniques.
Array
Array manipulation questions test foundational coding skills and performance under time constraints.
Hash Table
Hash table-based problems test your ability to handle complex data retrieval and storage tasks efficiently.
Open representative Databricks records
This public page summarizes the pattern. The database is where users inspect the actual record detail, stage context, and full write-up.
2025 Q4 · Phone Screen · Rejected
Databricks phone screen record for a Software Engineer role that ended in rejected. Phone Screen record for Databricks for a Software Engineer role. I used the standard…
Open in leaked questionsDatabricks NG Rejection Experience + Timeline2026(Jan - Mar) · Onsite · Rejected
Databricks onsite record for a Software Engineer role that ended in rejected. Onsite record for Databricks for a Software Engineer role. Mid Nov: Submitted resume, had a…
Open in leaked questionsDBX VO2025(Oct - Dec) · Onsite · Pending
Databricks onsite record for a Software Engineer role that ended in pending. Onsite record for Databricks for a Software Engineer role. Algorithm: optimal commute + foll…
Open in leaked questionsRelated GhostInterview pages
FAQ
What are the key skills tested in a Databricks Software Engineer interview?
Expect to be tested on coding challenges, especially tree problems, LeetCode-style screens, and array manipulation. System design and optimization are also key focus areas.
How can I improve my chances in a Databricks technical interview?
Practice coding challenges regularly, with an emphasis on algorithms, trees, and arrays. Work on clear communication of your thought process during problem-solving.
What type of questions can I expect in a Databricks phone screen?
Phone screens typically involve coding problems based on data structures like arrays, trees, and hash tables, often followed by optimization questions.
How should I prepare for a system design interview at Databricks?
Prepare for real-world system design challenges, focusing on scalability, space and time optimization, and efficient data storage solutions.
Can GhostInterview help during the actual Databricks interview?
Yes. Use GhostInterview during live coding rounds, system design discussion, and follow-up pressure while the interview is happening. On supported platforms, the overlay is designed to stay hidden on screen share.