Senior Data Platform Engineer

Full-time IT & Technology

We’re hiring Senior and Staff Data Platform Engineers to join the Data Infrastructure teams in Toronto. Together these teams own the infrastructure that processes billions of events per day: Spark‑on‑Kubernetes, Flink and Kinesis pipelines, a multi‑petabyte Delta Lake, a large‑scale MemoryDB feature store, Databricks multi‑environment operations, and the catalog and lifecycle systems that govern it.

The team is small and senior. Each engineer owns major platform components: you design it, build it, and support it in production.

This is a hybrid‑role based out of our Toronto office. You must be willing to travel to our Toronto office two days a week.

What You’ll Do:

• Spark‑on‑Kubernetes – EKS‑based compute platform for Spark workloads: cluster configuration, Pod Identity IAM, job environment setup, Kustomize overlays, and shadow canary validation
• Event ingestion – Rust services and Flink jobs ...