Data Platform Engineering Manager — Scale Analytics

Sentry; San Francisco (CA); On-site; USD 220,000 - 400,000; Full time

Benefits offered by this job

Commuter Stipend

Professional Development Stipend

Flexible PTO

Job summary

Sentry in San Francisco is seeking an Engineering Manager to lead the Events Analytics Platform (EAP) team that builds and operates distributed data systems processing petabytes of telemetry data. You'll guide architecture and ensure reliability while enabling fast, complex queries.

You will work with product engineering teams, balance performance with maintainability, and contribute to AI-powered capabilities like Seer by providing production context.

Qualifications

• Significant professional software engineering experience, including managing engineers and driving projects.
• 1
• Experience building large-scale data systems and leading technical initiatives.
• 3

Responsibilities

• Lead a team of engineers focused on large-scale distributed data systems.
• Drive architectural decisions for storage and query infrastructure.
• Build analytical data systems for petabyte-scale event data.
• Ensure platform reliability, monitor incidents, and manage scaling challenges.
• Collaborate with product teams to deliver platform capabilities.

Skills

Distributed systems

Leadership

Engineering management

Architectural decisions

ClickHouse

Pinot

Druid

Python

Rust

Operational excellence

Tools

ClickHouse

Apache Pinot

Apache Druid

Distributed storage

Job description

Sentry in San Francisco is seeking an Engineering Manager to lead the Events Analytics Platform (EAP) team that builds and operates distributed data systems processing petabytes of telemetry data. You'll guide architecture and ensure reliability while enabling fast, complex queries.

You will work with product engineering teams, balance performance with maintainability, and contribute to AI-powered capabilities like Seer by providing production context.