Own Databricks infrastructure, Terraform deployments, and streaming reliability at Homebase, with required Toronto hub attendance Tuesdays and Wednesdays. Build the platform beneath AI-powered products.As a Data and ML Platform Engineer, you will control how data enters, runs through, and returns from Homebase’s platform. You will operate Kafka and Debezium pipelines, Spark streaming into Delta, Unity Catalog, warehouses, CI/CD, and DAB deployments. The role also includes cross-team partnership and shared on-call responsibility.Key Responsibilities:
Operate CDC pipelines with replay and restream capabilitiesMaintain ingestion SLAs for streaming dataManage data infrastructure through Terraform and CI/CDPartner with engineering teams on reliable systemsImprove the team’s on-call experience over timeRequirements:
Production experience with distributed streaming systemsKafka and CDC experienceInfrastructure-as-code experience, ideally TerraformSolid data modeling fundamentalsComfort participating in an on-call scheduleBring streaming, infrastructure-as-code, and platform ownership skills to Homebase’s data and AI engineering foundation.
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📌 Data Infrastructure Engineer Databricks (Winnipeg)
🏢 Homebase
📍 Winnipeg