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Expert Solution Information Architecture-CA

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Hybrid

Expert Solution Information Architecture-CA

CN

Expert Solution Information Architecture-CA

Skills

Google Cloud PlatformBig DataData EngineeringJavaDesign ThinkingData AnalysisMachine LearningAIGoogle AnalyticsComplianceAzure

3 days ago

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Important information


Contract type:

Permanent

Location:

Montreal, QC, Canada

Work mode:

Hybrid

Published on:

21 October 2026

What they need


Job Summary The incumbent is responsible for leading the delivery of critical data platform solutions. The role leads the architecture of cloud data platforms and drives the creation industry leading cloud data platform. The incumbent defines practical architectures that ensure the performance, scalability, cost, and maintainability of complex distributed systems that support the business needs and align CN directions and standards. Furthermore, the position contributes to the definition of strategic technology directions and defines continuous improvement objectives in collaboration with the Data Services leadership team.

Main Responsibilities Data Platform Architecture and Delivery

  • Lead the delivery of Canadian National Data Services (CNDS) initiatives including the data platform and operational data products
  • Create systems architectures and modernization strategies related to data platforms
  • Complete systems integrations and ingestion design patterns, Data Lake, Data Lake House, and Data Warehouse architecture along with target and transitions architectures and roadmaps
  • Design and optimize platform and integration strategies for the cost-effective delivery of scalable and reliable distributed systems
  • Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products
  • Work with Enterprise Architecture to align and introduce new solutions and technologies
  • Work with Solution Architects to ensure the data platform is integrated into a solution efficiently

Data Platform Architecture Practice Evolution

  • Evaluate current and emerging technologies
  • Lead the CNDS team, fostering a culture of design thinking, brainstorming, efficiency, and balancing vision with practicality
  • Define architecture and engineering standards, patterns and best practices
  • Influence CNDS leadership with effective communication of proposals, directions and strategic decision making

Working Conditions The role has standard working conditions in an office environment with a regular workweek from Monday to Friday and is eligible to participate in CN's hybrid work model. The role involves managing priorities and delivering work within established timelines, with support from the team to ensure sustainable and effective workload management. The role requires minimal travel (up to 10%), within Canada and the United States (U.S.).Requirements

Experience Data Architecture

  • Minimum 12 years of experience with applications, data, and cloud
  • Minimum 5 years of experience as an architect with technology architecture covering big data, data engineering, data analytics, systems integration, and distributed computing
  • Minimum 3 years of experience as senior architect using cloud technologies and big data technologies including data analytics
  • Candidates with an equivalent combination of education, training, and experience will be considered

Education/Certification/Designation

  • Bachelor's Degree in a technology-related field or equivalent experience
  • Candidates with equivalent practical experience, education, or training will be considered

Competencies

  • We Care About Each Other
  • We Strive for Excellence
  • We Succeed Together
  • We Lead Responsibly
  • Compliance
  • Business acumen
  • High-Impact Execution
  • Conveying the vision
  • Coordination

Technical Skills/Knowledge

  • Strong knowledge of and proficiency in Azure and Google Cloud Platform (GCP), Data Analytics and Data Engineering
  • Strong knowledge of data and analytics architectures and concepts
  • Knowledge of distributed systems and enterprise messaging architecture
  • Knowledge of A2A and B2B Integration Architecture
  • Knowledge of Cloud and Development Operations (DevOps) architecture, Artificial Intelligence (AI), Machine Learning (ML) technologies and Legacy Systems Modernization (Mainframe, Java, IIB, DataStage, Netezza)*
  • Knowledge of program and project scoping, planning, and delivery with agile process, tools, and iterative architectures
  • Any requirement marked with (*) will be considered an asset (not mandatory)

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