Jobs in Ontario (207,414 jobs)

Jobs across Ontario, Canada. Choose a city or town to search nearby.

207,414 listings · 21,106 employers Counted Nov 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,266 listings), Shoppers Drug Mart (4,058 listings), Walmart Canada (3,442 listings).

Common roles: Retail sales associate, Practical nurse, Registered nurse.

33,718 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / hour	23.00	18,034
CAD / year	80,000.00	14,324
USD / year	155,000.00	86
CAD / month	4,108.00	67
CAD / week	1,500.00	45
CAD / day	101.00	23
USD / hour	20.00	13

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.

Workplace classifications: 0% remote, 17% hybrid, 82% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Ontario

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Added 12 hours ago
TP
Senior Automation Engineer A
Tetra Pak
Toronto, ON
- $110,800 to $158,200 CAD / year
- Full-time
Added 12 hours ago
S
HRBP / HR Manager – People and Performance
SYSTRA
Toronto, ON
- Full-time
Added 12 hours ago
AU
Security Guard
Allied Universal
Mississauga, ON
- Full-time
Added 12 hours ago
KR
Senior Accountant
Kassen Recruitment
Orillia, ON
- Full-time
Added 12 hours ago
WC
(CAN) Overnight Associate
Walmart Canada
Belleville, ON
- Full-time
Added 12 hours ago
M
Defined Benefit - Pension Administrator
Marsh
Toronto, ON
- Full-time
Added 12 hours ago
WC
Overnight Associate
Walmart Canada
Renfrew, ON
- Contract
Added 12 hours ago
C
Developer
Capco
Toronto, ON
- Full-time
Added 12 hours ago
AU
Aviation Security Guard
Allied Universal
Ottawa, ON
- $19 CAD / hour
- Part-time
Added 12 hours ago
WC
Overnight Associate
Walmart Canada
Renfrew, ON
- Contract
Added 12 hours ago
WC
(CAN) Overnight Associate
Walmart Canada
Belleville, ON
- Full-time
Added 12 hours ago
WC
(Can) Stock Unloader Associate
Walmart Canada
Brampton, ON
- Full-time
Added 12 hours ago
CR
Housekeeping Aide - Part-time
COGIR Real Estate
Oakville, ON
- Part-time
Added 12 hours ago
WC
(CAN) Cashier
Walmart Canada
Thunder Bay, ON
- Full-time
Added 12 hours ago
WC
(CAN) Stocking 3 Team Lead
Walmart Canada
Greater Napanee, ON
- Full-time
Added 12 hours ago
WC
(CAN) Stocking 2 Team Lead
Walmart Canada
Greater Napanee, ON
- Full-time
Added 12 hours ago
CR
Culinary Manager
COGIR Real Estate
Oakville, ON
- Full-time
Added 12 hours ago
WC
Senior Manager, Pricing
Walmart Canada
Mississauga, ON
- Full-time
Added 12 hours ago
E
Customer Service Representative - Guelph
Enterprise
Guelph, ON
- Full-time
Added 12 hours ago
G-
Lab Technician, Processing Facilities
GFL - Sewer Technologies Division
Brantford, ON
- Full-time
Added 12 hours ago
WC
General Merchandise Associate
Walmart Canada
Renfrew, ON
- Contract
Added 12 hours ago
WC
Stocking 3 Team Lead
Walmart Canada
Hawkesbury, ON
- Full-time
Added 12 hours ago
WC
(CAN) Meat Associate
Walmart Canada
Guelph, ON
- Full-time
Added 12 hours ago
WC
Stockperson/Cartpusher
Walmart Canada
Burlington, ON
- Full-time
Added 12 hours ago
SD
Merchandiser, Hourly Part Time Flexible Shifts
Shoppers Drug Mart
Mississauga, ON
- Part-time

TekStaff IT Solutions

Senior Data Architect

ON, Canada
Ontario, Canada, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

TekStaff's Client has a current vacancy for " Senior Data Architect/Modeller ”

This is a 6 month contract located in Toronto, ON (3 days onsite/2 days remote (subject to change))

Job Details:

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.

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.

Public Sector Experience: preferred

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.

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

Apply About employer

More about this job

Responsibilities

Design and evolve enterprise data architectures, models, standards, and integration patterns for AI, analytics, and operational use cases. Identify critical data assets, develop reusable data products, embed governance requirements, and collaborate with business and technology teams to improve data reuse and interoperability.

Requirements

Requires significant experience in enterprise data architecture, data modeling, and modern cloud data solutions, including architectures for AI/ML, Generative AI, analytics, and enterprise integration. Candidates should have strong knowledge of Azure data and AI services, governance, metadata, lineage, data quality, security, and privacy, along with a relevant degree or equivalent experience.

Skills

Enterprise Data Architecture
Data Modeling
AI/ML
Generative AI
Cloud Data Platforms
Azure
Azure Machine Learning
Microsoft 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
AI/ML
Generative AI
Retrieval-Augmented Generation (RAG)
Feature Engineering
AI/ML Pipelines
Azure
Azure Machine Learning
Microsoft 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
Interoperability

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