Lead customer data architecture at Questrade as a Senior Analytics Engineering Manager, combining dbt, SQL, and hands-on technical leadership. Work hybrid with at least three office days.This senior leadership role defines Questrade’s multi-year analytics engineering strategy and trusted client data foundation. You will guide semantic layers, governed models, and self-serve capabilities for business intelligence and autonomous AI agents.
The position connects analytics, architecture, and upstream engineering through scalable delivery practices.Key Responsibilities:
Set customer data architecture and analytics engineering strategyBuild governed semantic layers for BI and AI agentsChampion dbt, SQL, testing, CI/CD,
and documentationLead complex implementations and critical data transformationsDirect and develop analytics engineers and data specialistsRequirements:
Bachelor’s degree or equivalent practical experience10+ years in analytics or data engineeringExpert SQL and dbt experienceProduction warehouse expertise with BigQuery, Databricks, or SnowflakeExperience leading technical data teams hands-onShape Questrade’s trusted customer data ecosystem through architecture, semantic modeling, engineering rigor, and team leadership.