Own Homebase’s streaming data infrastructure in Toronto, from CDC pipelines through Delta. The hybrid schedule requires office collaboration Tuesdays and Wednesdays.
As a Data and ML Platform Engineer, you will build systems that keep data and AI features moving reliably. Your scope includes Kafka, Debezium, Spark streaming, Delta, ingestion service levels, and replay or restream capabilities. You will also manage infrastructure deployment and share operational responsibility through on-call.
Key Responsibilities: Develop CDC pipelines with Kafka and Debezium
Stream data through Spark into Delta
Support replay, restream, and ingestion SLAs
Deploy data infrastructure through CI/CD and DABs
Help reduce noise through the on-call rotation
Requirements: Production experience with distributed streaming systems
Hands-on Spark and Delta experience
Infrastructure-as-code experience, ideally Terraform
Container infrastructure experience with Docker, ECS, or Kubernetes
Ownership mindset and comfort working through ambiguity
Bring streaming systems, infrastructure-as-code, and operational ownership to Homebase’s Toronto data and AI platform.

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📌 Streaming Data Infrastructure Engineer (Ontario)
🏢 Homebase
📍 Ontario