Jobs in Ontario (229,591 jobs)

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

229,591 listings · 21,982 employers Counted Nov 13, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (5,777 listings), Shoppers Drug Mart (4,519 listings), Walmart Canada (3,882 listings).

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

36,894 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	19,684
CAD / year	80,000.00	15,811
USD / year	155,000.00	87
CAD / month	4,000.00	71
CAD / week	1,500.00	54
CAD / day	120.50	24
USD / hour	20.00	15

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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Collabera

Data Architect/ Data Modeler

Toronto, ON, Canada

$65 to $70 CAD / hour · Contract

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: $65 to $70 CAD / hour
Job type: Contract
Apply by: Dec 13, 2026
Posting language: English
Posted: Nov 13, 2026

Original job description

Title: Data Architect/ Data Modeler

Duration: 12+ Months + Extensions

Interview Process: 1 - Virtual and 1- In person

Location: Toronto, ON- Hybrid

Compensation: $65-$70/hour

Must Have:

Data modeling: Developing conceptual, logical, and physical models for enterprise analytical platforms.
API source analysis: Interpreting REST API specifications and profiling semi-structured JSON data to establish source semantics, extraction limitations, and source-to-target mappings.
Azure Lakehouse modeling: Designing Azure Databricks and Delta Lake models with sound entity keys, relationships, historical tracking, and schema evolution.
Data exploration and validation: Using SQL and Python or PySpark to explore data and validate design assumptions.
Data products: Translating business needs into reusable data products and practical data contracts aligned with data mesh principles.
Data governance: Defining data quality, metadata, lineage, and sensitive-data handling requirements.
Collaboration: Working with domain experts and engineering teams to deliver implementable designs.

Nice to have:

Cybersecurity data domain experience and familiarity with Unity Catalog and the Open Cybersecurity Schema Framework (OCSF).

We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop conceptual, logical, and physical data models for enterprise analytical platforms, including Azure Databricks and Delta Lake lakehouses. Analyze API sources and data, translate business needs into reusable data products and contracts, and define governance requirements in collaboration with domain experts and engineering teams.

Requirements

The role requires experience with enterprise data modeling, REST API specifications, semi-structured JSON, Azure Databricks, and Delta Lake. Candidates must be able to explore and validate data using SQL and Python or PySpark, and apply data mesh and governance principles; cybersecurity experience, Unity Catalog, and OCSF are nice to have.

Skills

Data Modeling
REST API Analysis
JSON Data Profiling
Azure Databricks
Delta Lake
SQL
Python
PySpark
Data Product Design
Data Contracts
Data Mesh
Data Governance
Data Quality
Metadata Management
Data Lineage
Stakeholder Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Modeling
Conceptual Data Models
Logical Data Models
Physical Data Models
REST APIs
JSON
Source-To-Target Mapping
Azure Databricks
Delta Lake
Lakehouse
SQL
Python
PySpark
Data Products
Data Contracts
Data Mesh
Data Governance
Data Quality
Metadata
Data Lineage
Cybersecurity
Unity Catalog
Open Cybersecurity Schema Framework (OCSF)

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Work requirements

Jobs in Ontario