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.
