Lead customer data architecture and dbt engineering at Questrade in a hybrid setting requiring at least three office days weekly. Build trusted analytics foundations.
As Senior Manager, Analytics Engineering, you will define Questrade’s multi-year architecture, semantic layer, and delivery strategy. You will lead a lean technical team while remaining hands-on with SQL, dbt, testing, CI/CD, and cloud data platforms. The work creates governed data products for business intelligence and autonomous agents.
Key Responsibilities:
- Set customer data architecture and analytics engineering strategy
- Architect governed semantic layers and standardized metric definitions
- Lead dbt modeling, SQL transformations, testing, and CI/CD
- Implement governance, observability, cost optimization,
and access controls
- Directly mentor analytics engineers and data specialists
Requirements:
- Bachelor’s degree or equivalent practical experience
- 10+ years in analytics engineering, data engineering, or platforms
- Expert SQL and dbt with software engineering disciplines
- Production warehouse experience with BigQuery, Databricks, or Snowflake
- Experience leading teams while remaining hands-on technically
Shape Questrade’s customer data ecosystem through architecture, semantic layers, dbt, SQL, and accountable technical leadership.