Build Homebase’s data platform with Kafka, Spark, and Python in a hybrid Toronto schedule requiring Tuesdays and Wednesdays onsite. Own systems powering data and AI features.
As a Data and ML Platform Engineer, you will manage data ingestion, platform infrastructure, model serving, and machine learning foundations. You will work with Databricks, Delta, Terraform, CI/CD, gRPC, MLflow, and feature stores. The role partners across data engineering, data science, and product engineering to move proofs of concept into production.
Key Responsibilities: Build and run CDC and streaming pipelines
Manage Databricks, Unity Catalog, warehouses, and Terraform
Ship gRPC services and real-time inference workloads




Evolve feature stores and MLflow practices
Participate in the team’s on-call rotation
Requirements: Production experience with Kafka and CDC systems
Hands-on Spark and Delta experience
Solid Python, SQL, and data modeling fundamentals
Container infrastructure experience with Docker, ECS, or Kubernetes
Comfort collaborating onsite Tuesdays and Wednesdays in Toronto
Apply distributed systems, infrastructure, and machine learning platform expertise to Homebase’s AI-powered product foundation.

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📌 Data Platform Engineer Kafka Spark (Ontario)
🏢 Homebase
📍 Ontario