Data & ML Platform Engineer (Hybrid)

Toronto, Remote. Posted 24 days ago

The role

You will build and run the data and AI platform that powers product features. This includes managing data ingestion, the data platform, serving layers, and ML foundations.

What you will do

Build and run CDC and streaming pipelines including Kafka, Debezium, and Spark streaming into Delta
Manage Databricks, Unity Catalog, warehouses, and Terraform with CI/CD and DAB deploys
Ship gRPC services and move batch workloads to real-time inference
Make LLM latency and cost visible
Evolve feature store and MLflow practice
Work with data science to take proofs of concept to production
Use AI-assisted tools to build, test, and operate
Partner with data engineering, data science, and product engineering
Join the team's on-call rotation

Required qualifications

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: experiment with AI tools in engineering workflow
Comfort moving quickly through ambiguity
An ownership mindset
Ability to collaborate in person at Toronto hub every Tuesday and Wednesday

Nice to have

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

Benefits

Stock options
TFSA/RRSP with 4% company match
Comprehensive medical, dental, and vision for you and your dependents
Flexible PTO
Company holidays
Designated focus periods
Access to paid AI tools
Maternity/Parental Leave EI top-up support (after 6 months of service)
Work From Anywhere Month
Meeting-free weeks yearly
Life insurance
Short/long-term disability coverage

Before you apply

Technical interviews (live coding plus a data and ML platform design conversation)
Background Check

About the company

Homebase is the everything app for hourly teams, providing tools for scheduling, time clocks, payroll, communication, and HR. Over 150,000 small businesses rely on the platform to simplify day-to-day operations.