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 capabilities
- Maintain ingestion SLAs for streaming data
- Manage data infrastructure through Terraform and CI/CD
- Partner with engineering teams on reliable systems
- Improve the team’s on-call experience over time

Requirements:
- Production experience with distributed streaming systems
- Kafka and CDC experience
- Infrastructure-as-code experience, ideally Terraform
- Solid data modeling fundamentals
- Comfort participating in an on-call schedule

Bring streaming, infrastructure-as-code, and platform ownership skills to Homebase’s data and AI engineering foundation.

📌 Data Infrastructure Engineer Databricks (Toronto)
🏢 Homebase
📍 Toronto