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Home / Compensation / Databricks / Engineering Manager
Total compensation for a Databricks Engineering Manager ranges from about $340K at the entry level to $2.1M+ at the most senior bands, with a typical mid-level package around $850K. Below is the full breakdown by level - base salary, annual equity, and bonus - from public-source data.
Public-source estimates (Beta). Last updated 2026-05. Figures are annualized USD.
| Level | Years | Base (p50) | Equity/yr (p50) | Bonus (p50) | Total (p25-p90) |
|---|---|---|---|---|---|
| M3Engineering Manager | 6-11 YOE | $235K | $145K | $40K | $340K - $620K |
| M4Senior Engineering Manager | 9-14 YOE | $280K | $250K | $50K | $470K - $920K |
| M5Director, Engineering | 13-19 YOE | $335K | $440K | $75K | $660K - $1.4M |
| M6Senior Director, Engineering | 17+ YOE | $380K | $730K | $90K | $920K - $2.1M |
First-line manager. Calibration tracks IC4. Manages 4-7 ICs.
Senior manager. Calibration tracks IC5. Manages multiple teams.
Director. Calibration tracks IC6.
Senior Director. External hires uncommon. Org leader.
Databricks managers use M-prefixed levels paralleling the IC ladder. Equity is pre-IPO RSUs at tender-offer price. Bonus is structured as a cash target tied to company and individual performance, shared with the IC track.
6 rounds. 5 of them can be practised here - each one below links the rep that trains it.
Recruiter screen
30 minutes. Background, management scope, and team interest (runtime, storage, ML platform, etc.).
Hiring manager screen
45-60 minutes. Leadership approach and the technical systems you have led.
Free rep: STAR answers: Customer Obsession (Databricks Culture) →Onsite: People leadership
45-60 minutes. Hiring, coaching, performance, and building a high-bar team.
Free rep: STAR answers: Truth-Seeking & First Principles (Databricks Culture) →Onsite: System design
60 minutes. Distributed data-systems design: storage, query execution, streaming, or multi-tenant platforms.
Free rep: Design walkthrough: Design an Analytics Pipeline (Kafka / Spark / Warehouse) →Onsite: Coding / technical (loop-dependent)
60 minutes where included. A coding problem or deep technical discussion.
Free rep: Coding challenges with a real sandbox →Onsite: Execution and cross-functional
45-60 minutes. Planning, delivery, and working with product and customers.
Free rep: STAR answers: Raise the Bar (Databricks Culture) →The full Databricks prep pack → what they value, topic emphasis, and the questions candidates ask.
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