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Engineering Manager, Data Modeling
📋 Description
- Lead the delivery and evolution of foundational data models covering product usage, customers
- Mentor data professionals while staying hands-on with design, implementation, and problem-solving.
- Build and operate data products using SQL, Python, and Spark in a lakehouse (Databricks) with
- Establish and maintain shared metric definitions and semantic layers for consistent interpretation
- Partner with Product and Engineering to define foundational concepts and reflect them in shared
- Collaborate with Data Platform on architecture, reliability, governance, and maintainability.
🎯 Requirements
- 2+ years leading data professionals with mentoring and direction-setting experience.
- 6+ years building and owning shared, reusable data models in modern data platforms.
- Strong SaaS data environment knowledge: product usage, customer, account, and business data.
- Advanced SQL and Python proficiency, hands-on Spark experience and lakehouse tech such as
- Experience designing data systems for quality, reliability, availability, performance, and cost
- Reuse-first mindset with ability to create durable, shared models and metrics for multiple teams.
🎁 Benefits
- Fully remote position based in Canada.
- Competitive compensation determined by location, level, and experience.
- Opportunity to lead a high-leverage data modeling function with organizational impact.
- Hands-on exposure to modern data engineering tech: SQL, Python, Spark, Databricks, Airflow
- Opportunity to shape shared data standards, semantic definitions, and long-term direction.
- Cross-functional collaboration with Product, Engineering, Data Platform, Analytics, Data Science
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