Engineering Manager, Data Platform

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA, USA
Hybrid
220K-400K Annually
Expert/Leader
Cloud • Information Technology • Software • Analytics • Business Intelligence
Sentry's platform helps every developer diagnose, fix, and optimize the performance of their code.
The Role
Leads the Events Analytics Platform engineering team building and operating petabyte-scale distributed data systems. Owns architecture, analytical storage and query infrastructure, scalability, reliability, performance, incident response, and technical execution. Partners with product engineering teams to deliver platform capabilities supporting Sentry products and AI-powered debugging. Develops engineers, drives technical decisions, and manages projects from design through production operations.
Summary Generated by Built In
About Sentry

Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.

Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.

About the role

Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data.

We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which 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 like ClickHouse, enabling fast, complex queries across billions of records.

As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues.

In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience.

This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data.

What you'll do
  • 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 the unification of different event types into a common analytical platform.

  • Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents, and address scaling challenges.

  • Partner with product engineering teams to understand their technical requirements, make informed tradeoffs, and deliver platform capabilities that support 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, helping the team execute effectively while managing competing technical and product needs.

You'll love this job if you
  • Enjoy leading engineers while staying closely involved in technical discussions, architecture, and complex problem-solving.

  • Get excited about building and operating large-scale distributed systems where performance, reliability, and efficiency matter.

  • Have a strong interest in analytical databases, storage engines, query systems, and the engineering challenges behind processing massive volumes of data.

  • Like working through difficult technical tradeoffs and turning ambiguous requirements into practical engineering solutions.

  • Take pride in building reliable production systems, understanding how they behave under load, and continuously improving their performance.

  • Enjoy collaborating with product engineering teams and understanding how infrastructure decisions influence the end-user experience.

  • Want to lead a team whose work directly supports Sentry's core products and growing AI-powered capabilities.

Qualifications
  • 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:

    • Analytical database infrastructure: Operating, scaling, optimizing, or maintaining OLAP systems such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies in production.

    • Complex distributed data platforms: Designing and building sophisticated systems using analytical databases or distributed storage technologies as foundational components, with meaningful ownership of the underlying architecture, performance, and reliability.

  • Experience making architectural decisions and technical tradeoffs involving system 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 points for:

  • Experience with ClickHouse, Pinot, 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.

Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow.

The base salary range that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits for more details about the Company’s benefit plans/programs.

Equal Opportunity at Sentry

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.

Skills Required

  • Significant professional software engineering experience
  • Experience managing and developing engineers
  • Experience 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
  • Production experience with analytical database infrastructure such as ClickHouse, Apache Pinot, Apache Druid, or similar technologies
  • Experience designing and building complex distributed data platforms using analytical databases or distributed storage technologies
  • Experience making architectural decisions and technical tradeoffs involving scalability, performance, reliability, or operational complexity
  • Experience owning 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 cross-functional collaboration skills
  • 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 partnering with product engineering teams on customer-facing infrastructure
  • Proficiency with Python, Rust, or similar backend programming languages

Sentry Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sentry and has not been reviewed or approved by Sentry.

  • Retirement Support — Retirement benefits are highlighted by an 8% 401(k) match with immediate vesting, which is portrayed as notably generous. This emphasis on long-term financial security stands out within the total rewards package.
  • Leave & Time Off Breadth — Time-off offerings include flexible PTO, paid holidays, and paid parental leave. These policies are positioned to support work-life balance and family needs.
  • Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, and vision, with added mental health support and Employee Assistance Programs. Such breadth indicates a robust core benefits foundation.

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The Company
HQ: San Francisco, CA
241 Employees
Year Founded: 2012

What We Do

Sentry's platform helps every developer diagnose, fix, and optimize the performance of their code. With Sentry, software teams can easily trace issues related to errors, performance problems, and trends in code quality. Sentry supports native, mobile, web, IoT frameworks, and more than 30 languages.

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