# Engineering Manager, Data Platform

**Company:** [Sentry](https://hotfix.jobs/companies/sentry)
**Location:** San Francisco, CA
**Role:** Engineering Management
**Salary:** $220k – $300k/yr
**Experience:** 10+ years
**Skills:** Python, Rust, ClickHouse, pinot, druid, Distributed Systems, query optimization, Data Platforms, storage systems, analytical backends
**Posted:** 2026-07-31

> Lead a team of engineers building and scaling Sentry's critical Events Analytics Platform (EAP) for storing, querying, and analyzing massive event data including AI capabilities. Requires 10+ years software engineering experience with 4+ years people management, strong background in data platforms and distributed systems.

## Job Description

## What you'll do
- Grow and develop a team of engineers with high expectations for ownership and impact
- Set the technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution
- Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage
- Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry
- Guide the unification of all event data into EAP and enable fast, complex cross-event querying at scale
- Partner closely with cross-functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance
- Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence
- Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion

## Qualifications
- 10+ years of industry experience in software engineering, including 4+ years of people management experience with career development and performance management
- Strong technical background in data platforms, storage systems, or analytical backends (for example, ClickHouse, Pinot, or Druid)
- Experience with distributed systems, query optimization, or scaling data-intensive workloads
- Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences
- Proficiency with Python, Rust, or a similar programming language is a plus
- Familiarity with observability, developer tools, or event-driven systems is a plus

## You'll love this job if you
- Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles
- Get excited by designing and running large-scale distributed data systems where performance and reliability matter
- Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows
- Like tackling complex querying and storage challenges at massive scale
- Thrive on cross-functional collaboration with product and infrastructure teams
- Want to work on a highly strategic team with significant visibility that shapes the future of Sentry's platform

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