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Prep plan
Updated weekly · Last refresh Oct 17

Databricks Engineering Manager Interview Questions

The questions to prepare for a Databricks Engineering Manager interview. Questions from real interview reports rank first. Updated daily.

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1
System DesignStart here. 11 questions · ~88 min
Design a Payment System Like VenmoHard

Design an ML-powered payment system like Venmo with real-time risk scoring, authorization, and reliable fallback behavior.

system designapi designdistributed systemsDatabricks
S3-Style Storage System DesignHard

Design an S3-like object storage system that uses ML to predict access patterns and optimize placement, tiering, and retrieval.

system designdistributed systemsFeature DriftDatabricks
Object-Store Like Amazon S3Hard

Design a simplified Amazon S3-style object store with durable storage, metadata, consistency, security, and operational safeguards.

data securitycloud servicescloud architectureDatabricks
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2
Execution7 questions · ~56 min
Define Success for Unity Catalog MigrationEasy

Define pre-build success criteria for a 16-week Unity Catalog migration initiative with strict security, dependency, and customer rollout constraints.

Success CriteriaRoadmappingRisk AssessmentDatabricks
Recover Delayed Unity Catalog LaunchMedium

Recover a Unity Catalog enterprise launch that is 3 weeks behind, with IAM dependencies, limited engineering capacity, and a hard 6-week deadline.

RoadmappingRisk AssessmentScope ManagementDatabricks
Ship Unity Catalog Lineage FastMedium

Plan a 10-week Unity Catalog lineage launch while trading off scope, code quality, and event-driven deadlines.

Trade-offsRisk AssessmentScope ManagementDatabricks
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3
Behavioral & Leadership22 questions · ~176 min
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4
More topics2 questions · ~16 min
Measure Impact of Databricks UI ImprovementMedium

Define success metrics for a Lakeflow Jobs UX improvement and separate true user impact from traffic-mix effects.

KPIsLeading IndicatorsDiagnosisDatabricks
Management Style, Sales Process, KPIsHard

Explain your management style, sales process, and approach to selecting leading and lagging KPIs.

KPI developmentKPIsKPI selectionDatabricks

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