Engineering Manager, Data Platform

Stack

Responsibilities

• ▹Grow and develop a team of engineers with high expectations for ownership and impact
• ▹Set the technical and strategic direction, balancing short-term stability with long-term architectural evolution
• ▹Drive development of core EAP features: complex analytical queries, dynamic routing across fidelity levels, storage/compute separation
• ▹Ensure EAP can support the workload demands of AI agents and MCP servers
• ▹Guide the unification of all event data into EAP for fast, complex cross-event querying at scale
• ▹Partner closely with Product Engineering, Streaming, Production Engineering, Security, and Compliance
• ▹Lead the team through incidents, postmortems, and scaling challenges

Requirements

• ▹10+ years of industry experience in software engineering, including 4+ years of people management experience
• ▹Strong technical background in data platforms, storage systems, or analytical backends (e.g. ClickHouse, Pinot, Druid)
• ▹Experience with distributed systems, query optimization, or scaling data-intensive workloads
• ▹Excellent communication skills, able to clearly articulate technical concepts to diverse audiences

Nice to have

• ▹Proficiency with Python, Rust, or a similar language
• ▹Familiarity with observability, developer tools, or event-driven systems

Soft skills

What we offer

• ▹Eligible to participate in Sentry's employee benefit plans (incentive compensation, equity grants, paid time off, group health insurance)

About the company

Sentry provides developer-first observability to over 4 million developers worldwide; the EAP team is at the heart of that mission and a cornerstone of Sentry's AI push (Seer).