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Tubi

Senior Data Platform Engineer

Tubi

Senior Data Platform Engineer developing infrastructure for data processing at Tubi in Toronto. Handling Spark-on-Kubernetes and real-time feature pipelines with responsibilities across data platform components.

Posted 7/27/2026full-timeToronto • 🇨🇦 CanadaSenior💰 CA$116,000 - CA$235,100 per yearWebsite

Tech Stack

Tools & technologies
AirflowAWSJavaKubernetesPythonRustScalaSparkTerraform

About the role

Key responsibilities & impact
  • 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 processing billions of events per day over Kinesis; throughput, reliability, on-call response, and AI-assisted operational tooling to reduce toil
  • Platform infrastructure — Terraform modules for environment provisioning, cross-account AWS IAM, ARC runner infrastructure, and CI/CD for data platform changes
  • Feature store and ML compute — Flink-based real-time feature pipelines feeding a large-scale MemoryDB cluster; GPU capacity governance and Databricks multi-environment operations for ML training workloads
  • Workflow orchestration and CDC — Airflow-based DAG deployment, change data capture pipeline operations, and data quality monitoring

Requirements

What you’ll need
  • 3+ years building and operating production data platform infrastructure at the cluster or platform level, across Spark, Flink, Kinesis, Kubernetes, or equivalent
  • Deep experience in at least one of: Spark-on-K8s cluster operations, Rust-based data or systems engineering, Kubernetes platform engineering and IaC, or data catalog and governance tooling
  • Production AWS experience or equivalent: EKS, S3, Kinesis, and multi-account IAM patterns (EKS Pod Identity, KIAM, or IRSA)
  • You've owned a critical platform component, you wrote the runbooks, tracked the cost, and were on-call for it
  • Strong in at least one of: Rust, JVM (Java or Scala), or Python for data platform work.

Benefits

Comp & perks
  • This role is also eligible for an annual discretionary bonus
  • long-term incentive plan
  • medical/dental/vision
  • insurance
  • vacation/paid time off
  • Flexible Time Off Policy to manage all personal matters
  • generous Parental Leave Program allowing parents twelve (12) weeks of paid bonding leave
  • monthly wellness reimbursement