Databricks

    Software · San Francisco, California, United States

    Databricks interview experiences at a glance

    Based on 5 interview experiences that candidates shared on Roundz between 2025 and Jan 2026.

    Experiences shared
    5
    Offers
    0
    Rejections
    3
    Pending or not reported
    2

    Roles candidates interviewed for

    • Senior Software Engineer: 2 experiences
    • Software Engineer II: 2 experiences
    • Solutions Engineer: 1 experience

    How the Databricks interview process works

    Based on 5 Databricks interview experiences shared on Roundz that list their rounds.

    A typical Databricks interview has 4 rounds. The most common round types, by share of experiences, are Coding (80%), Behavioral (60%) and System Design (60%). New to these round types? Read interview rounds explained.

    Databricks interview rounds reported by candidates
    RoundIn experiencesDifficultyTypical length
    Coding80%Mediumabout 45 min
    Behavioral60%MediumNot reported
    System Design60%Hardabout 70 min
    Hiring Manager40%EasyNot reported
    Technical20%MediumNot reported
    Phone Screen20%MediumNot reported
    Online Assessment20%EasyNot reported

    Databricks interview FAQ

    How many rounds are in the Databricks interview?
    Most candidates who shared their Databricks interview on Roundz went through 4 rounds. That's the median across 5 experiences that list their rounds.
    What rounds are in the Databricks interview process?
    The most reported rounds are Coding (80%), Behavioral (60%) and System Design (60%), as a share of experiences that list their rounds. Candidates also report Hiring Manager, Technical, Phone Screen and Online Assessment rounds.
    Is the Databricks interview hard?
    Candidates rated 18% of the 22 rounds they described as hard, 73% as medium and 9% as easy. The hardest round type is System Design: 75% of those rounds were rated hard.
    How long is each Databricks interview round?
    Typical lengths candidates reported: Coding about 45 min, System Design about 70 min.

    About Databricks

    Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. The company's platform helps organizations process and transform massive quantities of data and use it for analytics, machine learning, and AI applications. Databricks is known for creating Apache Spark, an open-source distributed computing system used for big data processing. Their Lakehouse Platform combines the best elements of data lakes and data warehouses to offer an open and unified platform for data and AI.

    Founded:
    Employees:300+
    Industry:Software
    Website:
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