Senior Manager, Analytics Engineering at Questrade Financial Group | CA | Rezi

Senior Manager, Analytics Engineering at Questrade Financial Group

Senior Manager, Analytics Engineering

Questrade Financial Group · CA

Yesterday

Senior Manager, Analytics Engineering

Questrade Financial Group · CA

2 days ago
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About the Role

Questrade Financial Group (QFG) is seeking a Senior Manager, Analytics Engineering to lead the architecture, semantic layer, and delivery strategy for customer data. This role will establish a 360-degree view of the client and build an AI-native self-serve data ecosystem, leveraging AI to transform customer experiences and empower teams.

Responsibilities

  • Define and execute the multi-year customer data architecture and analytics engineering vision.
  • Translate enterprise priorities into a scalable platform roadmap.
  • Unify diverse client touchpoints into a single, high-integrity view.
  • Architect and maintain the enterprise semantic layer, establishing standardized metric definitions, business logic, and governed models.
  • Empower self-serve BI tools and autonomous AI agents.
  • Define, champion, and enforce software engineering best practices within analytics, including dbt modeling, modular SQL, automated CI/CD pipelines, code reviews, automated testing, and data documentation.
  • Directly lead complex, greenfield implementations and critical data transformations by writing high-quality code and leveraging modern coding agents.
  • Implement strict data governance, cost optimization, data observability, and access controls across the data warehouse.
  • Ensure customer data models adhere to privacy, security, and regulatory standards.
  • Partner with Central Data Engineering, Enterprise Architecture, Analytics & Insights, and upstream data product teams.
  • Align on schemas, pipeline reliability, data change management, and end-user requirements.
  • Direct, mentor, and grow a high-performing team of analytics engineers and data specialists.
  • Provide clear technical direction, continuous coaching, and foster an environment of high accountability and continuous learning.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or equivalent practical experience.
  • 10+ years of progressive experience in analytics engineering, data engineering, or data platform development, including owning the architecture of a company-wide production data warehouse.
  • Expert-level SQL and dbt.
  • Solid software engineering disciplines (Git, automated testing, CI/CD, code reviews, and orchestration pipelines).
  • Deep hands-on experience architecting and maintaining production warehouses on BigQuery, Databricks, or Snowflake.
  • Demonstrated track record designing and maintaining production semantic layers that serve business intelligence and programmatic consumers (LLMs / AI agents).
  • Proven track record leading and mentoring data engineers or analytics engineers while remaining actively technical and hands-on.
  • Regular hands-on experience using modern AI coding agents (such as Claude Code) to accelerate development workflows, with an understanding of where these tools fail and how to validate their output.
  • Experience establishing new data platforms, semantic layers, or engineering practices from the ground up in a fast-paced or greenfield environment.
  • Background in fintech, banking, brokerage, or regulated customer data environments.
  • Demonstrated ability to bridge technical analytics engineering with data science, product strategy, and business analytics.

Skills

  • dbt
  • SQL
  • Git
  • automated testing
  • CI/CD
  • code reviews
  • orchestration pipelines
  • BigQuery
  • Databricks
  • Snowflake
  • semantic layers
  • business intelligence
  • LLMs
  • AI agents
  • AI coding agents
  • data governance
  • data observability
  • data security

Location

  • Hybrid

Work Type

  • Hybrid
  • Full-Time Permanent

Experience Level

  • Senior Manager
  • 10+ years of progressive experience

Education Level

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or equivalent practical experience.

Salary/Compensations

  • $170,000 - $200,000

Benefits

  • Health & wellbeing resources and programs
  • Paid vacation, personal, and sick days
  • Competitive compensation and benefits packages
  • Competitive incentive (bonus) program

About the Company

  • Questrade Financial Group (QFG) provides securities and foreign currency investment, professionally managed investment portfolios, mortgages, real estate services, financial services and more through its companies: Questrade, Questbank, Questrade Wealth Management, Community Trust Company, Zolo, and Flexiti.
  • We use cutting-edge technology to help Canadians become much more financially successful and secure.
  • At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services.
  • Join our diverse, inclusive, and hybrid workplace to unleash your creativity and nurture your curiosity without limits.
  • Questrade Financial Group of Companies is committed to fostering a diverse, inclusive and accessible work environment.
  • Our team reflects the diversity of the communities we serve and operate in.
  • Having a collaborative and diverse team helps us push boundaries to bring the future of fintech into existence.

Equal Opportunity

  • At Questrade Financial Group of Companies, with multiple office locations around the world, we are committed to fostering a diverse, inclusive and accessible work environment.
  • This is an environment where individuals are treated with dignity and respect.
  • Here, the unique skills and experience you bring will be valued.
  • You will be supported and motivated, so that you can harness your unlimited potential.
  • Our team reflects the diversity of the communities we serve and operate in.
  • Questrade Financial Group companies Applicant Tracking System utilizes artificial intelligence (AI) for application screening.
  • The AI system operates on predetermined criteria, with final decisions subject to human review.
  • Candidates selected for an interview will be contacted directly.
  • If you require accommodation during the recruitment/selection process, please let us know and we will work with you to meet your needs.