Engineering Manager, Data Platform
Core
Lead the Events Analytics Platform (EAP) team to build and operate distributed data systems storing, querying, and analyzing 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
Deliverable
production ML models
Required skills
Distributed systems, analytical databases (ClickHouse, Pinot, Druid), large-scale backend systems, architectural decision-making, production system ownership, project leadership
Preferred skills
Query optimization, analytical storage architecture, 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
