220K–400K USD / year

Engineering Manager, Data Platform

Engineering managerHybrid — San Francisco, California
Published on 2026-11-13
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Lead the Events Analytics Platform team building and operating distributed data systems for Sentry’s telemetry products. Guide the platform’s storage and query architecture, reliability, and performance at petabyte scale, including infrastructure supporting Sentry’s AI-powered debugging capabilities.

About the company

Sentry provides monitoring and error tracking tools designed to help software teams identify and fix issues in real-time. The company serves developers and organizations seeking to enhance their application's reliability and performance through data-driven insights.

The team

Events Analytics Platform (EAP)

Stack

ClickHouseApache PinotApache DruidPythonRust

What you'll do

  • Lead, develop, and support the growth of a team of engineers.
  • Drive architecture and technical execution for storage and query infrastructure.
  • Build and evolve systems for complex analytical queries and high-throughput workloads.
  • Improve query optimization, storage and compute separation, and unified access to event data.
  • Own platform reliability, production operations, incident response, and scaling.
  • Partner with product engineering teams to deliver platform capabilities.
  • Support analytical workloads and production context needs for Seer and other AI-powered experiences.
  • Set priorities and guide projects from design through production.

What we're looking for

  • Significant software engineering experience, including managing engineers and leading technical projects.
  • Strong background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems.
  • Hands-on experience building, scaling, or operating complex data-intensive systems.
  • Experience making architectural tradeoffs involving scalability, performance, reliability, or operational complexity.
  • Ownership of production systems, including troubleshooting, incident response, and performance optimization.
  • Ability to lead projects from design through implementation, deployment, and operations.
  • Strong communication and cross-functional collaboration skills.

Nice to have

  • Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases.
  • Experience with query optimization, analytical storage architecture, or high-throughput data processing.
  • Experience in observability, telemetry, developer tools, or event-driven applications.
  • Proficiency with Python, Rust, or similar backend languages.

Benefits

  • Equity grants
  • Annual performance bonus of up to 15% of base salary
  • Group health insurance
  • Paid time off
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