Principal Platform Architect – AI and Data Platforms
Canada
Full Time
4 hours ago
No Sponsorship
Key skills
AWSAzureCloudDockerETLGoogle Cloud PlatformHadoopKubernetesSparkTerraformUnityAIMLNLPGenAIRAGAgenticMLOpsELTData EngineeringBIDatabricksGCPGoogle CloudPerformance OptimizationCI/CDLeadershipCollaboration
About this role
Role Overview
- Play a pivotal leadership role within the Enterprise AI and Emerging Technology team
- Responsible for shaping and executing the organization’s strategy across AI, Data Platforms, and Data Governance (DG)
- Define and drive the end-to-end architecture vision
- Lead the design and implementation of scalable AI and data solutions
- Establish governance and standards
- Guide large-scale transformation initiatives
- Work closely with stakeholders across business and technology teams
- Build future-ready AI and data ecosystems
- Lead architectural practices and mentor teams
- Define and evolve the AI and Data Platform architecture strategy and roadmap
- Develop and maintain architecture models, standards, and roadmaps
- Lead enterprise-wide solution blueprints covering data platforms, AI pipelines, BI, and governance capabilities
- Design modern data platforms (e.g., Lakehouse architectures, data engineering pipelines, BI/reporting ecosystems)
- Architect scalable AI/ML systems leveraging cloud platforms such as Azure or GCP
- Enforce AI, data, and architecture governance standards
- Contribute to the evolution of enterprise architecture frameworks, practices, and processes
- Lead architecture reviews and govern solution design through project lifecycle gates
- Partner with business and technology stakeholders to translate requirements into architecture solutions
- Present architectural strategies and solutions to senior leadership and executive stakeholders
- Advocate for enterprise architecture practices and promote technology standardization and reuse
- Lead and mentor architecture team members and contribute to capability growth
- Drive continuous improvement in engineering practices, performance optimization, and solution quality
- Foster a culture of innovation, collaboration, and technical excellence across AI and data domains
Requirements
- 5–10+ years of experience in enterprise architecture, data platforms, or AI/ML solutions
- Proven experience delivering large-scale, complex solutions across AI and data ecosystems
- Agentic AI experience (Tool Usage, Agentic Orchestration Frameworks, LLMs, Testing and Evaluation, AgentOps)
- GenAI (LLMs, Monitoring, Testing and Evaluation, LLMOps, Observability, RAG)
- Data platforms & lakehouse architectures (e.g., ADLS Gen2, Databricks, Synapse, ETL/ELT, Unity Catalog)
- MLOps technologies (ML, NLP)
- Cloud platforms (Azure preferred; AWS/GCP knowledge beneficial)
- Big data technologies (e.g., Spark, Hadoop)
- DevOps & CI/CD practices, Infrastructure as Code (Terraform, etc.)
- Containerization and orchestration (Docker, Kubernetes)
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (PhD considered an asset)
Tech Stack
- AWS
- Azure
- Cloud
- Docker
- ETL
- Google Cloud Platform
- Hadoop
- Kubernetes
- Spark
- Terraform
- Unity
Benefits
- Competitive salaries and wages
- Store discounts
- Supported learning through our Triangle Learning Academy
- Canadian Tire Profit Sharing
- Retirement and savings programs for eligible employees
- Mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees