Data & ML Platform Engineer (Hybrid)

📍Your Impact Starts Here

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.

• 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.

Bonus points if you bring:

• Unity Catalog governance.
• MLflow and feature stores.
• LLM-serving experience.
• Protobuf event contracts.
• Postgres internals.

What We Offer

• 💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
• 🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
• ⏰ Paid Time Off: Flexible PTO + company holidays + designated focus periods
• 🤖 AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.
• 👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
• 🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
• 🛡️ Protection Plans: Life insurance + short/long-term disability coverage
• 🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days
• 💼 Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesdays and Wednesdays are our required in-office days—a time to move faster as a team, build deeper connections, make better decisions, and build together.

What to Expect During the Interview Process

• 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 🎉

👋 Hey, We’re Homebase

Homebase is the everything app for hourly teams—built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 150,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2M+ workers—and we’re just getting started.