Data Platform Engineering Lead

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

Job summary

Sentry is seeking an Engineering Manager to lead the Events Analytics Platform (EAP) team, building and operating large-scale distributed data systems that power our products and Seer, our AI-powered debugging agent.

You will guide architectural decisions, balance performance and reliability, own production incidents, and partner with product teams to deliver scalable analytics capabilities for billions of events.

Qualifications

• Significant professional software engineering experience, including managing and developing engineers.
• Strong background in distributed systems and data infrastructure or large backend systems.
• Hands-on experience building, scaling, or operating data-intensive systems.
• Experience making architectural decisions and tradeoffs for scalability and reliability.
• Ownership of production systems, including troubleshooting and performance tuning.
• Experience leading projects from design to deployment and operations.
• Strong communication and collaboration skills with cross-functional teams.

Responsibilities

• Lead and develop a team of engineers on large-scale distributed data systems.
• Drive technical execution and architectural decisions for storage and query infra.
• Build and evolve analytics systems for complex queries and high throughput.
• Guide evolution of architecture, including storage/compute separation and unification of event types.
• Own platform health, improve reliability, and manage incidents at scale.
• Partner with product teams to translate requirements into platform capabilities.
• Support AI capabilities by enabling analytics workloads and production context.

Skills

Software engineering

Distributed systems

Data infrastructure

OLAP/analytical DBs

Production ownership

Project leadership

Communication skills

Job description

Sentry is seeking an Engineering Manager to lead the Events Analytics Platform (EAP) team, building and operating large-scale distributed data systems that power our products and Seer, our AI-powered debugging agent.

You will guide architectural decisions, balance performance and reliability, own production incidents, and partner with product teams to deliver scalable analytics capabilities for billions of events.