220K–400K USD / year
Engineering Manager, Data Platform
Engineering managerHybrid — San Francisco, California
Published on 2026-10-29
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About this role
Lead the Events Analytics Platform team, which builds and operates distributed systems for storing and querying petabytes of telemetry data. Guide the platform’s architecture, reliability, and performance as it supports Sentry products and 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), building the data infrastructure behind Sentry products and Seer.
Stack
ClickHouseApache PinotApache DruidPythonRust
What you'll do
- Lead and develop engineers working on large-scale distributed data systems.
- Set technical direction for storage and query infrastructure.
- Improve analytical query performance, scalability, reliability, and maintainability.
- Own production operations, incident response, and platform health.
- Partner with product engineering teams to deliver infrastructure for customer-facing features.
- Support analytical workloads and production context for AI-powered experiences.
What we're looking for
- Significant software engineering experience, including managing and developing engineers.
- 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 with production OLAP systems or complex distributed data platforms.
- Experience making architectural tradeoffs around scalability, performance, reliability, and operational complexity.
- Demonstrated ownership of production systems and engineering projects from design through operations.
- Strong communication and cross-functional collaboration skills.
Nice to have
- Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases.
- Experience in query optimization, analytical storage architecture, or high-throughput data processing.
- Background in observability, telemetry, developer tools, or event-driven applications.
- Proficiency in Python, Rust, or similar backend languages.
Benefits
- Equity grants
- Annual performance bonus of up to 15% of base salary
- Paid time off
- Group health insurance