Data Architect/Modeller
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
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Ref: RQ11575 Contract – 12 Months (Extension Possible) Onsite – Toronto (595 Bay St.)
Posted Date: 2026-10-26
Location: Onsite – Toronto (595 Bay St.)
Public Sector Experience: Required – OPS / Public Sector
Contract End Date: 2027-10-01 *
Rate: $109/hour
Overview
Lotus is seeking a Senior Data Architect/Modeller to join the Government Services Integration Cluster under the Ministry of Public and Business Service Delivery and Procurement. In this role, you will design and implement enterprise-level data architectures in a complex distributed environment, supporting interoperability, information exchange, and data sharing across multiple business domains. You will work closely with business and technical stakeholders to develop canonical, semantic, and common data models that align with enterprise strategy and data governance objectives.
Key Responsibilities
This is a fully onsite role based at 595 Bay St., Toronto, 5 days per week. No security clearance is required. The role operates within the Government Services Integration Cluster and involves close collaboration with business and technical stakeholders across multiple ministries and business domains.
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Ref: RQ11575 Contract – 12 Months (Extension Possible) Onsite – Toronto (595 Bay St.)
Posted Date: 2026-10-26
Location: Onsite – Toronto (595 Bay St.)
Public Sector Experience: Required – OPS / Public Sector
Contract End Date: 2027-10-01 *
Rate: $109/hour
Overview
Lotus is seeking a Senior Data Architect/Modeller to join the Government Services Integration Cluster under the Ministry of Public and Business Service Delivery and Procurement. In this role, you will design and implement enterprise-level data architectures in a complex distributed environment, supporting interoperability, information exchange, and data sharing across multiple business domains. You will work closely with business and technical stakeholders to develop canonical, semantic, and common data models that align with enterprise strategy and data governance objectives.
Key Responsibilities
- Develop and implement data architecture for application development in complex and distributed environments, including data flow, database locations, and data access methods
- Develop conceptual, logical, and physical data models to support enterprise data strategies
- Create and maintain enterprise, common, canonical, and domain data models that enable interoperability and information exchange across multiple business domains
- Develop semantic data models, controlled vocabularies, business glossaries, canonical business definitions, reference data structures, and semantic relationship models
- Define business entities, relationships, hierarchies, attributes, and business rules to support data governance
- Facilitate business and technical workshops to define and reconcile business terminology, entities, relationships, and canonical definitions
- Apply domain-driven modelling and business capability analysis to develop common data models
- Establish modelling standards, naming conventions, and metadata requirements
- Design reference data and master data structures to support data integration and modernization initiatives
- Develop architecture artefacts and checkpoint deliverables with traceability to business architecture requirements
- Support data migration, integration, and modernization initiatives
- Provide data interoperability and information exchange recommendations aligned with enterprise architecture governance processes
- Demonstrated hands-on 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
- Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models, and common data models to support interoperability, information sharing, and enterprise data governance
- Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships, and canonical definitions
- Experience using data modelling tools such as ERwin, PowerDesigner, Visio, or equivalent CASE tools
- Experience developing semantic data models, business glossaries, controlled vocabularies, and reference data models
- Experience establishing modelling standards, naming conventions, and metadata requirements
- Experience supporting data migration, integration, and modernization initiatives
- Knowledge of metadata management, data lineage, and data governance principles
- Strong analytical, problem-solving, and written/verbal communication skills
- Experience with at least two different platforms, operating systems, environments, database technologies, languages, or communications protocols
- Experience developing common data models, business vocabularies, and semantic frameworks for regulatory, permitting, licensing, compliance, or public-sector programs involving multiple business domains
- 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 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
- Experience with middleware and gateways
- Knowledge of object-oriented analysis and design techniques
- Experience developing enterprise architecture deliverables based on Ontario Government Enterprise Architecture processes and practices
This is a fully onsite role based at 595 Bay St., Toronto, 5 days per week. No security clearance is required. The role operates within the Government Services Integration Cluster and involves close collaboration with business and technical stakeholders across multiple ministries and business domains.
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- Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.
More about this job
Responsibilities
Design and implement enterprise data architectures and conceptual, logical, physical, canonical, and semantic models to support interoperability and information exchange across business domains. Establish modeling standards and governance artifacts, facilitate stakeholder workshops, and support data migration, integration, and modernization initiatives.
Requirements
Requires extensive hands-on experience with enterprise and domain data modeling, data architecture principles, semantic models, controlled vocabularies, and data governance, along with experience using data modeling tools. Candidates must also have workshop facilitation and modernization experience, strong analytical and communication skills, and experience across at least two technology or platform environments.
Skills
- Data Architecture
- Conceptual, Logical, And Physical Data Modeling
- Enterprise Data Modeling
- Canonical Data Modeling
- Semantic Data Modeling
- Data Interoperability
- Data Governance
- Metadata Management
- Data Lineage
- Controlled Vocabularies
- Business Glossaries
- Reference Data Modeling
- Data Migration
- Data Integration
- Workshop Facilitation
- ERwin, PowerDesigner, Or Visio
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Government & Public Sector
Keywords
- Data Architecture
- Enterprise Data Models
- Canonical Data Models
- Domain Data Models
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
- Semantic Models
- Controlled Vocabularies
- Business Glossaries
- Reference Data
- Master Data
- Data Governance
- Metadata Management
- Data Lineage
- Interoperability
- Information Exchange
- Data Migration
- Data Integration
- Data Modernization
- ERwin
- PowerDesigner
- Visio
- RDF
- OWL
- Ontology Development
- Knowledge Graphs
- Databricks
- Neo4j
- Denodo