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Added 17 mins ago
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Genesys Cloud CX Professional, Architect, Developer, or Integration certifications.
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RQ11599 – Technology Architect – Senior
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RQ11575 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Architect/Modeller with extensive experience in enterprise data architecture, conceptual, logical, physical, common, canonical, domain, and semantic data…
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S M Software Solutions Inc

RQ11575 – Data Architect/Modeller – Senior

Toronto, ON, Canada

Internship

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Job details

Job type: Internship
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

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 environment, 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&IT 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.

Resource Deliverables

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.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Thursday, October 29, 2026, at 10:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Additional Information

Work Arrangement: Onsite – 5 days per week.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Develop enterprise data architecture and conceptual, logical, physical, common, canonical, domain, and semantic data models that support interoperability, information exchange, and data sharing. Establish shared business definitions and modeling standards, facilitate stakeholder workshops, and produce architecture deliverables aligned with enterprise strategy and governance requirements.

Requirements

The role requires extensive senior-level experience in enterprise data architecture and data modeling, including common and canonical models, semantic frameworks, business glossaries, controlled vocabularies, and reference data structures. Candidates should be proficient with data modeling tools such as ERwin, Power Designer, or Visio, and have experience facilitating business and technical workshops, applying modeling standards, and supporting data governance and integration.

Skills

Enterprise Data Architecture
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Common and Canonical Data Models
Domain Data Modeling
Semantic Modeling
Data Governance
Business Glossaries
Controlled Vocabularies
Reference Data Modeling
Data Interoperability
Data Integration
Metadata Management
ERwin
Power Designer

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Common Data Model
Canonical Data Model
Domain-Driven Modeling
Semantic Models
Business Glossary
Controlled Vocabulary
Reference Data Models
Semantic Relationship Models
Data Governance
Metadata Management
Data Lineage
Interoperability
Information Exchange
Data Sharing
Data Integration
Data Migration
ERwin
Power Designer
Visio
CASE Tools
Data Dictionaries
Naming Conventions
Master Data
Ontology Development
RDF
OWL

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