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.

📌 Data Platform Engineer Toronto
🏢 Homebase
📍 Toronto