TorontoFull TimeEngineering
Remotely
snowflakedatabricksllmsdbtairflowmlflowunity catalogbaseten
Job Description
📋 Description
- Lead Data Engineering, Data & ML Platform, Data Science, and Applied AI teams (20+ people).
- Set technical vision and roadmap for data as a product to drive customer outcomes.
- Oversee data platform reliability, scalability, and governance (Databricks, Unity Catalog, Airflow
- Accelerate AI/ML in product; own MLOps from experimentation to production.
- Collaborate with Product, Engineering, and GTM leadership to accelerate growth.
- Hire, develop, and retain top data/AI talent; foster a culture of velocity and craft excellence.
🎯 Requirements
- 10+ years in data and/or AI/ML with 5+ years leading teams.
- Director-level leadership experience; proven ability to scale orgs.
- Deep fluency with modern data stack (Databricks, Snowflake, Unity Catalog, Airflow, dbt) and
- Strong product instincts and ability to translate technical work into business impact.
- AI-first mindset; experience shipping AI-powered products and AI tooling.
- Excellent communication; able to convey complex concepts to non-technical stakeholders.
🎁 Benefits
- Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
- Health & Wellness: Medical, dental, vision for you and dependents
- Paid Time Off: Flexible PTO + holidays + focus periods
- AI tools access to build, experiment, and level up
- Family Support: Maternity/Parental Leave EI top-up
- Work Your Way: Work From Anywhere Month + meeting-free weeks