Hiring Salary Range:

$ 110000 - 144000

This range represents the hiring range. Salaries are determined individually depending on skills and experience. You will also be eligible to an annual bonus, employee share investment program (ESIP), Pension, Benefits and other perks.

At CN, we are committed to our pursuit of excellence. We take pride in delivering work of the highest standard, continually innovating to shape the railroad of the future. As responsible railroaders, we make the right decisions every time, putting safety first, acting with unwavering integrity, and holding ourselves accountable for our actions. We believe in succeeding together by fostering inclusivity and collaboration, we sustainably deliver exceptional results for our customers.

Join us today and get your career moving

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 recent 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)*

📌 Expert Solution Information Architecture-CA (Winnipeg)
🏢 CN
📍 Winnipeg