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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
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Posting language
English
Posted

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.

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

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Categories

  • Data & Analytics
  • Technology
  • Software

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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