Senior Principal Data Architect - Data Warehousing & Engineering

Questrade Financial Group•Toronto, ON

16h•Hybrid

About The Position

The Senior Principal Data Architect is a visionary technical leader responsible for the structural integrity and strategic evolution of our enterprise Data Platform. Working within the Forward Deployed Engineering team, you will bridge the gap between abstract platform capabilities and high-impact business solutions. You will ensure that our decentralized Data Mesh architecture remains cohesive, secure, and optimized for Agentic AI and advanced analytics. As a Senior Principal-level role, you are expected to possess "Expert" level mastery in programming and cloud-native expertise. You will lead projects through technical influence, architectural oversight, and hands-on solutioning. You will be the primary architect for client outreach in the Forward Deployed Engineering team, working directly with business units to consolidate customer data products and modernize legacy workflows.

Requirements

Expert-level proficiency in one of the cloud data platforms, preferably GCP and/or Databricks.
Veteran in Python, PySpark, and SQL.
Advanced knowledge of Integration Patterns, Design Patterns, and modern CI/CD supply chains.
Proven ability to operationalize / design MLOps, Agent Runtimes, and AI Development Environments.
Demonstrated ability to lead large-scale technical projects in a matrix-management environment.
Experience in a Product-focused or Forward-deployed role where you influenced business outcomes through technology.
Masters or PhD in Computer Science, Mathematics, or a related field is highly preferred for this level of seniority. Equivalent experience accepted.

Responsibilities

Define the end-to-end architecture for the Self-Serve Data Platform, ensuring seamless integration between GCP, Databricks, and next-gen AI tools.
Evaluate and implement new tools for the data stack, create leading edge data products to back our Agentic frameworks, determine the best solutions for real-time analytics for the organization.
Serve as the lead technical consultant for business-aligned projects, providing the architectural blueprint for Guide our clients and platform teams to the best solution and make a business impact.
Establish best-practice solution and integration patterns that allow decentralized business teams to build autonomous data products. Solve data and AI self-serve challenges at scale.
Design the solution and platform infrastructure necessary to support Agentic AI solutions and proactive, self-correcting data governance and FinOps.
Lead the cultural shift toward AI-augmented data engineering, setting the standard for how our team and our clients use GenAI to develop, enable, and automate.
Build next-generation data products that shorten business decision time with agentic networks, grounded models, RAG engines, and purpose-built conversational analytics.
Operationalize FinOps at an architectural level, designing systems that inherently minimize non-value-add compute costs.
Collaborate with our cloud infrastructure and cybersecurity teams to embed operational guardrails into the IaC Factory. Scale the platform with an SRE focus.
Leverage the Enterprise Data Catalogs in all solutions to ensure global data discoverability, security, and data product lifecycle.