Client: Ministry of Public and Business Service Delivery and Procurement – RQ11575

We are seeking a Senior Data Architect/Modeller with extensive experience in enterprise data architecture, conceptual, logical, physical, common, canonical, domain, and semantic data modelling. The ideal candidate will have deep knowledge of data architecture principles, methodologies, standards, and best practices, along with demonstrated expertise in interoperability, information exchange, data sharing, enterprise data governance, business glossaries, controlled vocabularies, reference data models, and semantic relationship models. The successful candidate will support enterprise data architecture initiatives, establish common business definitions, facilitate business and technical workshops, develop architecture artefacts, and ensure alignment with enterprise strategy, business architecture requirements, and data governance standards.

Role Snapshot

Job Title: RQ11575 – Data Architect/Modeller – Senior

Client: Ministry of Public and Business Service Delivery and Procurement

Work Location: 595 Bay Street, Toronto, Ontario, Canada

Work Arrangement: Onsite – 5 Days per Week

Estimated Start Date: September 21, 2026

Estimated End Date: October 1, 2027

Business Days: 283.00

Extension: Probable after the initial mandate

Hours: 7.25 hours per day

Security Level: No Clearance Required

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.

Description
Responsibilities

Develop and implement the data architecture for application development in a complex and distributed setting, including determining the flow and distribution of data, the location of databases, and data access methods.

Provide a standard common business vocabulary, express strategic data requirements, outline high-level integrated designs to meet these requirements, and align with the enterprise strategy and related business architecture.

General Skills

Knowledge and experience in information resource management tools and techniques.

Experience with at least two different platforms, operating systems, environments, database technologies, languages, and communications protocols.





Knowledge of performance considerations for different database designs in different environments.

Experience with structured methodologies for the design, development, and implementation of applications.

Experience in systems analysis and design in large or medium systems environments.

Experience in using Computer Aided Software Engineering (CASE) tools for the development and documentation of data architectures and detailed data models.

Experience using data modelling methods and tools, such as ERwin, Visio, and Power Designer, including working knowledge of metadata structures, repository functions, and data dictionaries.

Knowledge and experience in using information retrieval packages.

Awareness of emerging I⁢ trends and directions.

Experience in monitoring and enforcing data modelling and normalization standards.

Experience developing enterprise architecture deliverables, such as models, along with excellent analytical, problem-solving, and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills.

A team player with a track record of meeting deadlines.

Desirable Skills

Experience with middleware and gateways.

Experience designing and developing an automated data distribution mechanism.

Knowledge and understanding of object-oriented analysis and design techniques.

Experience developing enterprise architecture deliverables, such as models, based on Ontario Government Enterprise Architecture processes and practices.

Knowledge and understanding of Information Management principles, concepts, policies, and practices.

Experience creating detailed data standards to enable integration with other systems.

Experience reviewing conceptual, logical, and physical data models for quality and adherence to standards.

Knowledge and understanding of dimensional and relational data models.

Knowledge and experience in information resource management tools and techniques.

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, Power Designer, 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.

Experience supporting interoperability, information exchange, and data integration initiatives.

Experience developing architecture artefacts and checkpoint deliverables with traceability to business architecture requirements.

Knowledge of metadata management, data lineage, and data governance principles.

Experience supporting data migration, integration, and modernization initiatives.

Strong analytical, problem-solving, and communication skills.

The Resource Will Support The Following Deliverables

Common Data Model (CDM)

Canonical Data Model

Conceptual Data Models

Logical Data Models

Semantic Data Models

Business Glossary

Controlled Vocabulary

Canonical Business Definitions

Reference Data Models

Semantic Relationship Models

Data Standards and Naming Conventions

Architecture artefacts supporting architecture governance and review processes

Data interoperability and information exchange recommendations

Data prototyping and proof-of-concept activities

Desirable Skills – 20%

Experience developing common data models, business vocabularies, and semantic frameworks for regulatory, permitting, licensing, compliance, or public-sector programs involving multiple business domains and stakeholder groups.

Experience with semantic modelling, ontology development, or knowledge graph concepts.

Knowledge of RDF, OWL, graph databases, or semantic technologies.

Experience with Databricks, Neo4j, Denodo, or equivalent data platforms.

Experience with metadata repositories and governance solutions.

Knowledge and understanding of Information Management principles, concepts, policies, and practices.

Knowledge and understanding of AODA and related standards.

Experience supporting permitting, regulatory, licensing, or public-sector business domains.

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Additional Information

Work Arrangement: Onsite – 5 days per week.

Email is the best way to reach us.

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📌 – Data Architect/Modeller – Senior (Ontario)
🏢 S M Software Solutions
📍 Ontario