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National Bank of Canada

Senior Data Solutions Architect

Montreal, QC, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

A career as a Senior Data Solutions Architect within the Wealth Management Solution and Data Architecture team at National Bank means leading the definition and implementation of innovative solutions. Through your human leadership and technical expertise, you will have a positive impact on National Bank’s growth.

Your job 

Take ownership of the data dimensions of solutions, including flows, authoritative sources, analysis and profiling, integration, modelling, optimization, management and data exposure.
Determine the most appropriate data integration and exposure approaches for the investment domain, considering context-specific needs and the long-term sustainability of the solution.
Contribute to the governance of data-related processes, particularly in relation to data quality.
Align solutions with functional and non-functional requirements, including data volumes, refresh frequency and long-term data growth.
Ensure that data solutions comply with the organization’s data integration patterns.
Document data solutions and maintain related artifacts, such as flows, data models, message models and value domains. Also contribute to data innovation.
Integrate opportunities offered by artificial intelligence, including generative AI, into the design of data architectures to improve data exploitation, value creation and automation.
Collaborate with relevant teams to guide the secure and responsible use of AI in data solutions, particularly with respect to governance, quality, traceability and data protection.
Assess AI use cases applied to data, such as augmented search, classification, enrichment, automated analysis and decision support, based on business value and technological feasibility.
Support delivery teams in the design and production of physical data structures.

Your team 

IT is made up of more than 2,300 experts who work in an agile, proactive and collaborative way to seize opportunities, stay at the forefront of technology and continuously improve processes.

Within Wealth Management, you will be part of a large team of 30 colleagues and will report to the Senior Manager, Solution and Data Architecture. We aim to provide you with maximum flexibility to support your quality of life. This includes a hybrid work environment, as well as a flexible and adaptable schedule.

National Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, enable you to master your profession and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Prerequisites 

Profile primarily focused on data architecture, with complementary expertise in solution architecture, in order to design coherent, integrated solutions aligned with the overall systems architecture.
Strong experience in conceptual, logical and physical data modelling in transactional and informational contexts.
Solid knowledge and experience in artificial intelligence applied to systems architecture, including generative AI, language models, augmented search, vectorization, vector databases, as well as the assessment of AI-related risks and appropriate mitigation mechanisms.
Good understanding of reference data, master data, authoritative sources, DDD, data governance, enterprise data catalogues, data security and access management concepts.
Proficiency in data integration and exploitation approaches, including APIs, streaming, ETL processes, business intelligence, analytics, data warehouses and data virtualization, with an excellent ability to analyze flows and impacts across systems.
Bachelor’s degree in a related field combined with 8 years of relevant experience; data management certifications, such as Data Management Professional, are considered an asset, as are knowledge of the investment domain and experience with agile methodologies.
Strong ability to synthesize, analyze and explain complex topics in simple terms; ability to facilitate effective workshops and meetings, work collaboratively and under pressure, and demonstrate authenticity and servant leadership.

Languages: French, English
Reason to require this language: you will need to work closely with our colleagues outside Quebec.
Required skills: Agile Methodologies, Amazon Web Services, Artificial Intelligence, Bilingual Communications, Business Acumen, Data Architecture, Data Governance, Data Modeling, Domain-Driven Design, Influencing, Initiative, Leadership, Microservices Development, Solution Architecture, Teamwork

Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

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More about this job

Responsibilities

Lead the data architecture aspects of investment-domain solutions, including data flows, integration, modeling, quality, governance, optimization, and exposure, while ensuring alignment with requirements and enterprise patterns. Document data architecture artifacts, support delivery teams with physical data structures, and assess and integrate secure, responsible AI opportunities into data solutions.

Requirements

Requires a bachelor’s degree in a related field and eight years of relevant experience, with strong data modeling expertise across transactional and informational contexts. Candidates should have knowledge of AI and generative AI, data governance and security, integration approaches, and solution architecture, along with strong communication, facilitation, collaboration, and leadership abilities; French and English are required.

Skills

Data Architecture
Solution Architecture
Data Modeling
Data Governance
Artificial Intelligence
Generative AI
Domain-Driven Design
Data Integration
Data Quality
Data Security
Agile Methodologies
Amazon Web Services
Microservices Development
Leadership
Business Acumen
Teamwork

Benefits

Health And Wellness Program
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Service
Virtual Sleep Clinic
Hybrid Work Environment
Flexible Schedule
Training And Development
Coaching And Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Solution Architecture
Data Modeling
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Data Governance
Data Quality
Data Integration
Data Security
Artificial Intelligence
Generative AI
Language Models
Augmented Search
Vectorization
Vector Databases
Reference Data
Master Data
Authoritative Sources
Domain-Driven Design
Enterprise Data Catalogues
APIs
Streaming
ETL
Business Intelligence
Analytics
Data Warehouses
Data Virtualization
Amazon Web Services
Agile Methodologies

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