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Bevertec

Data Architect

Toronto, ON, Canada

$100 to $105 CAD / hour · Contract

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Job details

Pay: $100 to $105 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Posting language: English
Posted: Oct 26, 2026

Original job description

Job Role: Data Architect/Modeler – Senior

Location : Toronto, ON/Onsite

Position Type : Contract Role

End Date: 2027-10-01

Overview

•Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.

•Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture.

Looking for someone who has hands-on data modeling experience - conceptual, semantic, logical and physical

Must Have:

Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
Deep knowledge of data architecture principles, methodologies, standards and best practices.
Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
Experience developing business glossaries, reference data models and semantic relationship models.

Experience and Skill Set Requirements

General Skills (80%)

Demonstrated experience developing conceptual, logical and physical data models.
Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
Deep knowledge of data architecture principles, methodologies, standards and best practices.
Experience using data modelling tools such as ERwin, PowerDesigner, Visio or equivalent CASE tools.
Experience defining business entities, relationships, hierarchies, attributes and business rules.
Extensive experience developing semantic data models, controlled vocabularies, business glossaries, canonical business definitions, reference data structures and semantic relationship models.
Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
Experience developing business glossaries, reference data models and semantic relationship models.
Experience applying domain-driven modelling and business capability analysis to the development of common data models.
Experience establishing modelling standards, naming conventions and metadata requirements.
Experience designing reference data and master data structures.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

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More about this job

Responsibilities

Develop and implement data architecture and conceptual, semantic, logical, and physical models for complex, distributed environments. Establish shared business definitions, vocabularies, reference structures, and modeling standards that support interoperability, data sharing, and enterprise governance.

Requirements

Requires extensive hands-on experience creating enterprise, common, canonical, and domain data models, along with deep knowledge of data architecture principles and best practices. Candidates should be skilled in modeling tools, defining business entities and rules, establishing metadata and naming standards, and facilitating business and technical workshops.

Skills

Conceptual Data Modeling
Semantic Data Modeling
Logical Data Modeling
Physical Data Modeling
Enterprise Data Architecture
Canonical Data Models
Domain Data Models
Data Governance
Business Glossaries
Controlled Vocabularies
Reference Data Modeling
Master Data Modeling
Domain-Driven Modeling
Business Capability Analysis
Metadata Requirements
ERwin

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Modeling
Conceptual Data Models
Semantic Data Models
Logical Data Models
Physical Data Models
Enterprise Data Models
Common Data Models
Canonical Data Models
Domain Data Models
Interoperability
Information Exchange
Data Sharing
Enterprise Data Governance
Business Vocabulary
Controlled Vocabularies
Business Glossaries
Reference Data Models
Master Data Structures
Semantic Relationship Models
Domain-Driven Modeling
Business Capability Analysis
Data Modeling Standards
Naming Conventions
Metadata Requirements
Business Entities
Business Rules
ERwin
PowerDesigner
Visio

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