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, modern analytical storage patterns
• ▹Ensure EAP can support the workload demands of AI agents and MCP servers
• ▹Guide the unification of all event data into EAP and enable 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
• ▹Build a healthy, collaborative team culture rooted in growth, accountability, and inclusion

Requirements

• ▹10+ years of software engineering experience, including 4+ years of people management with career development and performance management
• ▹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 explain technical concepts to diverse audiences

Nice to have

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

Soft skills

What we offer

• ▹Incentive compensation eligibility
• ▹Equity grants
• ▹Paid time off
• ▹Group health insurance coverage

About the company

Sentry builds developer-first application monitoring and observability, helping developers find and fix errors and performance issues before users notice. Trusted by 200,000+ organizations and used by over 4 million developers worldwide, Sentry is building toward an AI-native future with its Seer product.