Build Homebase’s data platform in Toronto using Kafka, Spark, and Python. Work onsite Tuesdays and Wednesdays while supporting AI-powered product features.
As a Data and ML Platform Engineer, you will own data ingestion, platform operations, and model serving. You will manage Databricks, Unity Catalog, warehouses, and Terraform while partnering with data engineering, data science, and product engineering. The work includes production streaming systems, real-time inference, and reliable machine learning foundations.
Key Responsibilities: Build and operate Kafka and Debezium streaming pipelines
Manage Databricks, Unity Catalog, warehouses, and Terraform
Ship gRPC services for real-time model serving
Evolve feature stores and MLflow practices
Participate in the team’s on-call rotation
Requirements: Production experience with Kafka and change data capture
Hands-on Spark and Delta experience
Solid Python and SQL skills
Experience with Docker, ECS, or Kubernetes
Availability for Toronto hub collaboration Tuesdays and Wednesdays
Apply data engineering, machine learning platforms, and infrastructure expertise to support Homebase’s AI product systems.

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📌 Data Platform Engineer Toronto (Ontario)
🏢 Homebase
📍 Ontario