Expert Solution Information Architecture-CA
- Montreal, QC, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original 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)
More about this job
Responsibilities
Lead the architecture and delivery of cloud data platforms and operational data products, including integration patterns, data lakes, lakehouses, and warehouses. Establish architecture standards and modernization roadmaps, optimize cost and reliability, evaluate emerging technologies, and guide the team and leadership on strategic technology decisions.
Requirements
Requires at least 12 years of experience with applications, data, and cloud, including at least 5 years in technology architecture and 3 years as a senior architect using cloud and big data technologies. A technology-related bachelor's degree or equivalent experience is required, along with strong knowledge of Azure, Google Cloud Platform, data engineering and analytics, distributed systems, and integration architecture.
Skills
- Data Platform Architecture
- Cloud Architecture
- Azure
- Google Cloud Platform
- Data Engineering
- Data Analytics
- Distributed Systems
- Systems Integration
- Data Lake Architecture
- Data Warehouse Architecture
- Data Lakehouse Architecture
- DevOps
- Enterprise Messaging
- Artificial Intelligence
- Machine Learning
- Legacy Systems Modernization
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Management & Leadership
- Transportation
Keywords
- Azure
- Google Cloud Platform
- Cloud Data Platforms
- Data Architecture
- Data Engineering
- Data Analytics
- Big Data
- Distributed Computing
- Distributed Systems
- Systems Integration
- A2A Integration
- B2B Integration
- Enterprise Messaging
- Data Lake
- Data Lakehouse
- Data Warehouse
- DevOps
- Artificial Intelligence
- Machine Learning
- Legacy Systems Modernization
- Mainframe
- Java
- IIB
- DataStage
- Netezza
- Agile
- Iterative Architecture
- Technology Architecture
- Total Cost of Ownership
- Return on Investment