Engineering Manager, Data Platform
Core
Lead the Events Analytics Platform (EAP) team to build and operate distributed data systems storing and querying petabytes of telemetry data for Sentry's products and AI agent Seer.
Role type
Engineering Manager, Data Platform
Builds
Distributed data systems, analytical infrastructure, and storage/query platforms for petabyte-scale telemetry.
Domain
SaaS / Observability / Data Infrastructure
Required skills
Distributed systems, analytical databases (OLAP), data infrastructure, team leadership, architectural decision-making, production system ownership, cross-functional collaboration.
Preferred skills
ClickHouse, Apache Pinot, Apache Druid, query optimization, high-throughput data processing, observability infrastructure, Python, Rust.
Technologies
ClickHouse, Apache Pinot, Apache Druid, Python, Rust
Responsibilities
Lead and develop a team of engineers on large-scale distributed data systems; Drive technical execution and architectural decisions for storage and query infrastructure; Build and evolve analytical data systems for complex queries and high-throughput workloads; Guide architecture evolution including query optimization and storage/compute separation; Own operational health, reliability, and incident response; Partner with product engineering to deliver platform capabilities; Support AI-powered capabilities by serving analytical workloads for Seer.
Seniority
Manager, hands-on technical leadership
