IT & data jobs in Canada

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RQ11860 - Database Administrator - Senior
Maarut
Toronto, ON
- Contract
Additional Responsibilities/Skills for Data Warehouse
Added 1 day ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Data Scientist in the Client Data Valorisation team at National Bank means serving as a predictive modelling and data valorisation specialist. This position allows you to have…
Added 2 days ago
A
Senior Data Engineer / BI Specialist – Canada
Amyantek
Canada
- Contract
Amyantek is identifying experienced Data Engineers and Business Intelligence professionals for potential upcoming federal public-sector IT assignments.
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
NB
SAS Viya System Administrator
National Bank of Canada
Montreal, QC
- Full-time
A career as a SAS Viya System Administrator within the Cross-Functional Solutions, Acceleration and Data (STAD) team at National Bank means acting as a specialist in the administration and…
Added 2 days ago
FT
Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Added 2 days ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
2C
Computer Technician
22nd Cell Phone and Computer Fix
Saskatoon, SK
- Full-time

S M Software Solutions Inc

RQ00239 – Senior Data Architect/Modeller

Toronto, ON, Canada

Hybrid

Internship

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Job details

Job type: Internship
Workplace: Hybrid
Apply by: Dec 7, 2026
Posting language: English
Posted: Nov 7, 2026

Original job description

Client: Metrolinx – RQ00239

We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data platforms, data engineering, and AI/ML solutions. The ideal candidate will have strong knowledge of modern Azure data and AI technologies, including Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, along with expertise in data governance, metadata, data lineage, integration, and data quality. The successful candidate will play a key role in designing and evolving enterprise data architecture, establishing reusable data models and architecture standards, and enabling scalable, governed, and AI-ready data solutions across the organization.

Role Snapshot

Job Title: RQ00239 – Senior Data Architect/Modeller
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada, M5V 2X4
Work Arrangement: Hybrid – 3 Days per Week Onsite
Start Date: November 23, 2026
End Date: April 23, 2027
Business Days: 110.00
Hours: 7.25 hours per day
Public Sector Experience: Preferred but not required

Must Have

Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.
Deep technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.
Strong understanding of data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the AI/ML and model lifecycle.

Description

The Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products.

The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.

Key Responsibilities

Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
Design reusable data products and common data models that can support multiple business and AI use cases.
Contribute to the organization's future-state data architecture, including transition from existing platforms and architectures.
Identify and define critical data assets and domains required to support enterprise priorities.
Establish and promote enterprise data architecture, modelling, interoperability, and integration standards.
Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products.
Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.

Qualifications & Experience

Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent experience.
Significant experience in enterprise data architecture, data modelling, data engineering, or related disciplines.
Demonstrated experience developing conceptual, logical, and physical data models and enterprise data architectures.
Experience designing modern data architectures supporting cloud, analytics, AI/ML, and enterprise integration.
Strong knowledge of data modelling, data integration, APIs, data platforms, metadata, master/reference data, and data quality concepts.
Understanding of data governance, data ownership, lineage, security, privacy, and information lifecycle management.
Knowledge of modern architecture approaches such as data lake house, data products, domain-oriented architecture, and cloud-based data platforms.
Ability to translate complex business and technical requirements into practical architecture standards, models, and patterns.
Strong stakeholder management, communication, documentation, and problem-solving skills.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the following mandatory documents.

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Additional Information

Work Arrangement: Hybrid.
Public Sector Experience: Preferred but not required.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design and evolve enterprise data architecture, models, integration patterns, and reusable data products for analytics, AI/ML, and operational use cases. Establish architecture standards and work with governance, business, data, and technology teams to improve data quality, lineage, ownership, reuse, and interoperability.

Requirements

Requires significant experience in enterprise data architecture, data modeling, data engineering, and cloud-based solutions, including conceptual, logical, and physical models for AI/ML and analytics. Candidates should understand Azure data and AI technologies, governance, integration, metadata, lineage, security, privacy, and data quality, and be able to translate business and technical needs into scalable architecture patterns.

Skills

Enterprise Data Architecture
Conceptual, Logical, And Physical Data Modeling
Cloud Data Platforms
Azure Machine Learning
Microsoft Foundry / Azure AI Foundry
Data Engineering
AI/ML Architecture
Generative AI
Data Governance
Data Integration
APIs
Metadata Management
Data Lineage
Data Quality
Data Security And Privacy
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Azure
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Cloud Data Platforms
Data Engineering
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Feature Engineering
AI/ML Pipelines
Data Governance
Data Ownership
Metadata
Data Lineage
Data Quality
Data Integration
APIs
Master Data
Reference Data
Data Lakehouse
Data Products
Domain-Oriented Architecture
Interoperability

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IT & data jobs in Canada

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