Jobs in Vaughan, ON and nearby (91,909 jobs)

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

91,909 listings · 10,469 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include Husky Technologies (2,139 listings), Loblaw Companies Limited (1,565 listings), Shoppers Drug Mart (1,415 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

14,264 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 / year	85,000.00	7,917
CAD / hour	27.00	5,859
USD / year	158,000.00	73
CAD / month	4,500.00	37
CAD / week	1,650.00	31
CAD / day	101.00	16

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, 28% hybrid, 72% 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 Vaughan, ON and nearby

Within 25 km

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Iris Software Inc.

Data Modeler

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 9, 2026
Experience: 5–6 years of experience in Data Modeling, Database Design, Data Warehousing, or Enterprise Data Platforms.
Posting language: English
Posted: Nov 9, 2026

Original job description

Iris's client, the largest bank in the United States is looking to hire Data Modeler

Please find below the job details and share your resume if interested at sandeep.goel@irissoftware.com

Job Description:

Title: Data Modeler

Location: Toronto, ON (Hybrid – 2-3 days/Week)

Duration: Long term assignment

Job Description:

Key Responsibilities

Design, develop, and maintain conceptual, logical, and physical data models supporting enterprise DataOps Platform capabilities and business use cases.
Collaborate with business stakeholders, Solution Architects, Data Engineers, and platform teams to translate business requirements into scalable, reusable data models.
Support onboarding of multiple business use cases onto the DataOps Platform by analyzing source systems, defining target data structures, and identifying opportunities for data model reuse.
Develop relational and dimensional data models, including Star and Snowflake schemas, to support data ingestion, transformation, analytics, and reporting.
Perform source-to-target data mapping, data profiling, schema analysis, and impact assessments to enable reliable data integration across applications.
Define and maintain data dictionaries, metadata, entity-relationship diagrams, and data lineage documentation.
Establish and enforce data modeling standards, naming conventions, data quality rules, and governance requirements across the platform.
Work closely with Data Engineering and ETL/ELT teams to optimize data structures for performance, scalability, and efficient processing.
Support schema evolution, change management, and data model enhancements as new use cases are onboarded.
Ensure data models align with enterprise security, privacy, compliance, and data governance requirements, particularly for sensitive banking and financial data.

Required Skills

5–6 years of experience in Data Modeling, Database Design, Data Warehousing, or Enterprise Data Platforms.
Strong proficiency in conceptual, logical, physical, relational, and dimensional data modeling.
Hands-on experience with data modeling tools such as ERwin, ER/Studio, PowerDesigner, or equivalent.
Strong SQL skills for data analysis, profiling, validation, and query optimization.
Experience working with databases and cloud data platforms such as Oracle, SQL Server, PostgreSQL, Snowflake, Amazon Redshift, or equivalent.
Good understanding of DataOps principles, including automated data pipelines, data quality, metadata management, lineage, monitoring, and repeatable onboarding processes.
Experience with ETL/ELT processes, source-to-target mappings, data integration, and data warehousing architectures.
Understanding of data governance, master/reference data, data security, and regulatory compliance considerations.
Experience collaborating with Solution Architects, Data Engineers, application teams, and business stakeholders in Agile delivery environments.
Strong analytical, problem-solving, documentation, and communication skills.

Preferred / Good-to-Have Skills

Experience working on enterprise DataOps or cloud-based data platform modernization initiatives.
Exposure to AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, and AWS Lake Formation.
Familiarity with modern data architecture concepts such as Data Lakes, Lakehouse, Data Mesh, and reusable data products.
Knowledge of data cataloging, metadata management, and data lineage tools.
Experience in Banking and Financial Services (BFSI), including customer, account, transaction, payments, or regulatory data domains.
Familiarity with CI/CD, version control, and automated data model deployment practices.

Best Regards,

Sandeep Goyal

Address: 200 Metroplex Dr. Edison, NJ 08817

Cell: 732.426.8546

Email: sandeep.goel@irissoftware.com | www.irissoftware.com

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More about this job

Responsibilities

Design and maintain conceptual, logical, physical, relational, and dimensional data models for enterprise DataOps capabilities and business use cases. Partner with stakeholders and technical teams to map and profile source data, document metadata and lineage, enforce governance and quality standards, and optimize models for secure, scalable data integration and analytics.

Requirements

Requires 5–6 years of experience in data modeling, database design, data warehousing, or enterprise data platforms, with strong SQL skills and hands-on experience using data modeling tools and databases or cloud data platforms. Candidates should understand DataOps, ETL/ELT, data integration, governance, security, and compliance, and be effective collaborators with business and technical teams; banking experience and AWS platform exposure are preferred.

Skills

Data Modeling
Conceptual, Logical, And Physical Data Modeling
Relational And Dimensional Modeling
SQL
Data Warehousing
DataOps
Data Profiling
Source-To-Target Mapping
ETL/ELT
Data Integration
Data Governance
Metadata Management
Data Lineage
Data Quality
AWS Data Services
Banking And Financial Data

Visa sponsorship

Not detected in the job text

Hiring contact

Sandeep Goyal

Hiring contact email

sandeep.goel@irissoftware.com

Keywords

Data Modeling
ERwin
ER/Studio
PowerDesigner
SQL
Oracle
SQL Server
PostgreSQL
Snowflake
Amazon Redshift
Amazon S3
AWS Glue
AWS Lake Formation
DataOps
ETL/ELT
Data Warehousing
Star Schema
Snowflake Schema
Data Lakes
Lakehouse
Data Mesh
Data Governance
Master Data
Reference Data
Metadata Management
Data Lineage
Data Quality
CI/CD
Version Control
Banking And Financial Services

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