Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Engineering Manager, Data Platform
San Francisco, California · San Francisco, California, United States
Likely evergreen, first seen by us 6 days ago- Pay
USD 220,000–400,000 · BasePay period needs review. Plus bonus — pay source
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
Read the full posting- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
What you’ll work on
Full postingSentry helps over 4 million developers understand and resolve issues in their applications.
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.
Lead and develop a team of distributed data systems engineers
Drive architecture and technical execution for EAP storage and query infrastructure
Own operational health of the platform, including incidents and production issues
Partner with product engineering teams to define platform capabilities
Guide unification of event types into a common analytical platform
From the employer’s posting
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.
Lead and develop a team of engineers working on large-scale distributed data systems
Drive technical execution and architectural decisions across EAP's storage and query infrastructure
Own the operational health of the platform, leading efforts to improve reliability, troubleshoot production issues, manage incidents
Partner with product engineering teams to understand their technical requirements
the unification of different event types into a common analytical platform
What you’ll bring
All qualificationsCore experience
- Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following:
- Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases.
- Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity.
- Experience with query optimization, analytical storage architecture, or high-throughput data processing.
- Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements.
- Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications.
Qualification wording
Hands-on experience building, scaling, or operating complex data-intensive systems, with depth in at least one of the following:
Experience with ClickHouse, Pinot, Druid, or other column-oriented analytical databases.
Experience making architectural decisions and technical tradeoffs involving system scalability, performance, reliability, or operational complexity.
Experience with query optimization, analytical storage architecture, or high-throughput data processing.
Demonstrated ownership of production systems, including troubleshooting, incident response, performance optimization, and operational improvements.
Experience building infrastructure for observability, telemetry, developer tools, or event-driven applications.
About Sentry
Software runs the world and the pace is faster than ever.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorLikely evergreenReposted 2 times since Jul 12, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
- Status in our records
- Live
- First seen by us
- Oct 29, 20266 days ago
- Recorded sightings
- 7
- Last seen by us
- Nov 4, 2026
- Reposted
- 2 times since Jul 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 6
Early. Similar jobs usually come down between day 7 and day 54.
From 7,930 similar postings that came down. Coming down is not always a hire.
Sentry is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
- 100% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Rust
- ClickHouse
Where the posting names them
- 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.
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.
- 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.
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.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Has Sentry posted this job before?
Yes. We’ve followed 2 other Engineering Manager, Data Platform jobs there since July 2026. 2 came down, usually after about 26 days.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
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 roleSentry 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 accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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 accommodations@sentry.io.