Engineering Manager, Data Platform at Sentry · LumiJobs

Responsibilities

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.
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.
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.

Qualification

Hands-on experience buildingAnalytical database infrastructureComplex distributed data platformsExperience with ClickHouseExperience with query optimizationProficiency with PythonEqual Opportunity at Sentry

Required

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.

Preferred

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.

Engineering Manager, Data Platform

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Sentry

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