Data & ML Platform Engineer, Homebase

• Production experience with distributed streaming systems (Kafka and CDC)
• Hands-on Spark and Delta experience
• Strong Python and SQL
• Experience with container infrastructure (Docker, ECS, or Kubernetes)
• Infrastructure-as-code experience, ideally Terraform
• Solid data modeling fundamentals
• Comfort being part of an on-call schedule
• AI fluency: you already experiment with AI tools in your engineering workflow and can share what you learned
• Comfort moving quickly through ambiguity, with clear communication across technical and non-technical teams
• An ownership mindset: you stay close to the details and stand behind the systems you build
• The ability to collaborate in person at our Toronto hub every Tuesday and Wednesday, and to use that time for fast decisions and shared context
• 💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!

Desirable

• Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of two engineers who carry that build
• You’ll own how data gets in, how the platform runs, and how models and data get served back to the product, with real ownership from day one
• Own data-in. Build and run CDC and streaming pipelines (Kafka, Debezium, Spark streaming into Delta), including replay, restream, and ingestion SLAs
• Own the data platform. Manage Databricks, Unity Catalog, warehouses, and Terraform, with CI/CD and DAB deploys for data infrastructure
• Build the serving layer. Ship gRPC services, move batch workloads to real-time inference, and make LLM latency and cost visible
• Grow the ML foundations. Evolve our feature store and MLflow practice, and work with data science to take proofs of concept to production
• Be AI-first in how you build. Use AI-assisted tools to build, test, and operate faster, experiment with new capabilities, and share what works with the team
• Partner across teams. Work with data engineering, data science, and product engineering to turn customer needs into reliable systems
• Share the on-call. Join the team’s on-call rotation, which has its own escalation path, and help make it quieter over time

• Meet the Talent Acquisition team, Mavel W
• Meet the Hiring Manager, Paul W
• Participate in technical interviews (live coding plus a data and ML platform design conversation)
• Background Check + Offer Stage
• Welcome to the team, Homie 🎉