IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Nov 5, 2026

Hiring at a glance

View jobs

Open jobs: 4,991
Employers: 2,103

Advertised starting pay

Average starting payCAD / year: $97,991Across 496 listings
Average starting payCAD / hour: $50.41Across 351 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%200 listings
Hybrid: 38%1,912 listings
On-site: 57%2,865 listings

Not specified: <1% (14 listings)

Employers hiring include TD (86), S M Software Solutions Inc (64), J&M Group (50).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 11 mins ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
Added 11 mins ago
Senior Data Engineer
Capgemini
Vancouver, BC
Added 11 mins ago
TT
Safety Data Analyst
Trimac Transportation
Calgary, AB
- Full-time
Added 11 mins ago
QI
Data Analyst
Qouda Inc
Toronto, ON
- $80,000 to $120,000 USD / year
- Full-time
We are seeking a motivated individual to join our team in a data-driven capacity. The successful candidate will play a crucial role in analysing data to support decision-making processes…
Added 11 mins ago
RB
Data Analyst
Royal Bank of Canada
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
…dynamic team. This position offers the opportunity to work with data to drive insights and support decision-making processes within the…
Added 11 mins ago
BF
Data Analyst
BMO Financial
Toronto, ON
- $70,000 to $110,000 CAD / year
- Full-time
Join a forward-thinking financial institution where data-driven insights fuel decision-making. In this dynamic environment, you will contribute to enhancing operational efficiency and…
Added 11 mins ago
RB
Data Analyst
Royal Bank of Canada
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
We are seeking a skilled individual to join our team as a data analysis professional. In this position, you will play a critical role in interpreting data and transforming it into…
Added 11 mins ago
S
Data Analyst
Sobeys
Calgary, AB
- $80,000 to $110,000 CAD / year
- Full-time
…successful candidate will play a crucial role in transforming data into actionable insights that drive business…
Added 11 mins ago
S
Data Analyst
Sobeys
Calgary, AB
- $80,000 to $120,000 CAD / year
- Full-time
Join our team at Sobeys as a vital member of our data analytics department. In this position, you will leverage your analytical skills to provide insights that drive decision-making and…
Added 11 mins ago
BF
Data Analyst
BMO Financial
Toronto, ON
- $80,000 to $120,000 CAD / year
- Full-time
In this exciting opportunity, you will leverage your analytical skills to transform raw data into actionable insights. The ideal candidate will contribute to the decision-making process…
Added 26 mins ago
AT
Data Engineer
Aarorn Technologies Inc
Toronto, ON
- $45 CAD / hour
- Contract
Strong hands-on experience with Snowflake and DBT for designing, developing, and maintaining scalable data solutions. (Must Have)
Added 26 mins ago
CS
Business Systems Analyst- AI
Confiar Services
Toronto, ON
- Contract
Added 26 mins ago
IS
Data Modeler
Iris Software Inc.
Toronto, ON
- Contract
Design, develop, and maintain conceptual, logical, and physical data models to support enterprise DataOps platform capabilities and business data requirements.
Added 56 mins ago
Business Systems Analyst
Scotiabank
Toronto, ON
Added 1 hour ago
WC
Service Desk Analyst (1 year term)
Western Canada Lottery Corporation (WCLC)
Winnipeg, MB
- Full-time
Added 1 hour ago
Software Development Manager, S3 Index
Amazon
Vancouver, BC
Added 1 hour ago
AP
Senior Real World Data Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
…innovative medicines by advancing the scientific use of Real World Data (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best…
Added 1 hour ago
NF
Business System Analyst II, Claims Delivery
Northbridge Financial Corporation
Toronto, ON
- Full-time
Added 1 hour ago
T
Sr. Business Systems Analyst, TD Securities
TD
Toronto, ON
- Full-time
Added 1 hour ago
T
Sr. Business Systems Analyst, TD Securities
TD
Toronto, ON
- Full-time
Added 1 hour ago
HP
Application Support Analyst
Helical Pile Solutions Ltd.
Calgary, AB
- Full-time
Added 1 hour ago
QW
AWS Data Architect
Quantum World Technologies Inc.
Toronto, ON
- Contract
We are looking for an experienced AWS Data Architect to design, develop, and implement scalable, secure, and high-performance data architecture solutions on Amazon Web Services (AWS). The…
Added 1 hour ago
M
RQ00762 - Systems Analyst - Senior
Maarut
Toronto, ON
- Contract
Added 1 hour ago
M
Business Systems Analyst (BSA) - Guidewire ClaimCenter
Maarut
Montréal-Est, QC · Montreal East, Quebec
- Contract
Added 2 hours ago
Data Analyst
City of Edmonton
AB
…support for the Fleet & Facility Services branch by building data sources, developing Tableau dashboards and doing analyses in spreadsheets. The position will be responsible for all aspects…

TEEMA

Senior Data Architect/Modeller

Toronto, ON, Canada

$80 to $100 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $80 to $100 CAD / hour
Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Must Haves:

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.

Location: Hybrid – 3 days a week onsite

Public Sector Experience: preferred but not required

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 lakehouse, 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.

Apply About employer

More about this job

Responsibilities

Design and evolve enterprise data architectures, models, standards, and integration patterns for analytics, AI/ML, operational use cases, and reusable data products. Identify critical data assets and architecture gaps, and partner with governance, business, engineering, and technology teams to ensure data is governed, interoperable, and AI-ready.

Requirements

Requires significant experience in enterprise data architecture, data modeling, data engineering, and cloud-based solutions for analytics and AI/ML, including conceptual, logical, and physical models. Candidates should understand data governance, integration, APIs, metadata, lineage, quality, security, and privacy, and be able to translate complex requirements into practical architecture standards and patterns; a relevant degree or equivalent experience is required.

Skills

Enterprise Data Architecture
Data Modeling
AI/ML Architecture
Generative AI
Cloud Data Platforms
Azure
Azure Machine Learning
Azure AI Foundry
Data Engineering
Data Integration
APIs
Data Governance
Metadata and 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
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Azure
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Cloud Data Platforms
Data Engineering
Data Integration
APIs
Metadata
Data Lineage
Data Quality
Data Governance
Data Ownership
Data Security
Data Privacy
Data Lakehouse
Data Products
Domain-Oriented Architecture
Master Data
Reference Data
Feature Engineering

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