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 pipelinesManage Databricks, Unity Catalog, warehouses, and TerraformShip g RPC services for real-time model servingEvolve feature stores and MLflow practicesParticipate in the team’s on-call rotationRequirements: Production experience with Kafka and change data captureHands-on Spark and Delta experienceStrong Python and SQL skillsExperience with Docker, ECS, or KubernetesAvailability for Toronto hub collaboration Tuesdays and WednesdaysApply data engineering, machine learning platforms, and infrastructure expertise to support Homebase’s AI product systems.#J-18808-Ljbffr

📌 Data Platform Engineer Toronto
🏢 Homebase
📍 Toronto