Engineering Manager, Data Platform

at Sentry
USD 220,000-400,000 per year
MIDDLE
✅ Hybrid

Tech Stack

AI @ 3 ClickHouse @ 3 Communication @ 6 Debugging Distributed Systems @ 6 OLAP @ 3 Observability @ 3 Performance Optimization @ 3 Python @ 5 Rust @ 5 Sentry @ 3

Details

Sentry helps developers fix errors and performance issues before users notice. Trusted by more than 200,000 organizations and used by over 4 million developers, Sentry provides application monitoring and is building an AI-native future.

The Events Analytics Platform (EAP) team builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies such as ClickHouse, enabling fast and complex queries across billions of records. EAP is also the data foundation for Seer, Sentry's AI-powered debugging agent.

This role leads a team of engineers working on large-scale distributed systems while balancing architectural improvements with the reliability and performance of production systems. The Engineering Manager will provide technical judgment, guide engineering decisions, and collaborate with product engineering teams to build capabilities that affect the developer experience.

Responsibilities

  • Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth.
  • Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability.
  • Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabytes of event data.
  • Guide the evolution of EAP's architecture, including query optimization, storage and compute separation, and unification of different event types into a common analytical platform.
  • Own the operational health of the platform, including reliability improvements, production troubleshooting, incident management, and addressing scaling challenges.
  • Partner with product engineering teams to understand technical requirements, make informed tradeoffs, and deliver platform capabilities supporting new product experiences.
  • Support Sentry's AI-powered capabilities by ensuring the platform efficiently serves the analytical workloads and production context required by Seer and other AI-driven experiences.
  • Set clear priorities and drive projects from design through production while managing competing technical and product needs.

Requirements

  • Significant professional software engineering experience, including experience managing and developing engineers, leading technical projects, and driving engineering execution.
  • Strong technical background in distributed systems, data infrastructure, analytical databases, or large-scale backend systems.
  • Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following areas:
    • Analytical database infrastructure, such as operating, scaling, optimizing, or maintaining OLAP systems including ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production.
    • Complex distributed data platforms using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of architecture, performance, and reliability.
  • Experience making architectural decisions and technical tradeoffs involving scalability, performance, reliability, or operational complexity.
  • Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements.
  • Experience leading engineering projects from technical design through implementation, deployment, and ongoing operations.
  • Strong communication and collaboration skills, including the ability to work with cross-functional stakeholders and translate technical requirements into actionable engineering priorities.

Bonus Qualifications

  • Experience with ClickHouse, Apache Pinot, Apache Druid, or other column-oriented analytical databases.
  • Experience with query optimization, analytical storage architecture, or high-throughput data processing.
  • Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications.
  • Experience working closely with product engineering teams to develop infrastructure supporting customer-facing features.
  • Proficiency with Python, Rust, or similar backend programming languages.

Benefits

  • Base salary range of $220,000 to $400,000 USD per year.
  • Annual performance bonus of up to 15% of base salary.
  • Equity grants.
  • Paid time off.
  • Group health insurance coverage.
  • Eligibility to participate in applicable employee benefit plans and programs.

Sentry is committed to equal employment opportunities and provides reasonable accommodations to employees and candidates with disabilities.

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