First seen by our source: 1 hour ago
Expert Solution Information Architecture-CA
@ CN
Québec, Quebec
SIGNALS
Overview
CN is hiring a full-time Expert Solution Information Architect in Canada to lead delivery of its cloud data platform initiatives, including data lake, lakehouse and warehouse architecture. The role sets architecture and engineering standards, evaluates technologies and influences leadership. It is an office-based hybrid role with minimal travel of up to 10%, and requires 12+ years of experience.
Responsibilities:
- Lead delivery of cloud data platform initiatives
- Design data lake, lakehouse and warehouse architectures
- Define architecture and engineering standards and best practices
- Evaluate current and emerging technologies and assess TCO and ROI
Requirements summary:
- 12+ years with applications, data and cloud
- 5+ years as an architect in big data and analytics
- 3+ years as senior cloud and big data architect
- Bachelor's degree in a technology-related field or equivalent
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- Not provided
- First seen by our source
- 2026-11-15
- Source record updated
- 2026-11-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 12+ years |
| Hours per week | 40 |
| Schedule | day |
| Travel | air: minimal · ground: minimal |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Technology-related field |
Summary and details written by AI from the posting; the employer’s posting is the authority.
| Field | Value |
|---|---|
| Headquarters | Downtown Montreal |
| Open jobs on Jobsy | 177 |
Job description
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
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
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
- 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
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
- Bachelor's Degree in a technology-related field or equivalent experience
- Candidates with equivalent practical experience, education, or training will be considered
- 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
- 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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