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We are seeking an experienced Senior Data Architect/Modeller with deep, hands-on data modeling expertise across conceptual, semantic, logical, and physical layers to design and implement enterprise data architectures in complex, distributed environments. In this role, you will be responsible for defining common business vocabularies, developing ...
enterprise canonical data models, and establishing robust reference data structures to enable interoperability and seamless information exchange across multiple business domains. Working closely with cross-functional business and technical teams, you will facilitate alignment workshops, enforce data modeling and normalization standards, create comprehensive architectural artifacts, and support enterprise data governance and modernization initiatives. Location: Toronto, ON (Fully Onsite - 5 days/week required) Duration: 12-month contract Advantages Full-Lifecycle Modeling Scope: Hands-on leadership developing conceptual, semantic, logical, canonical, and physical data models. Enterprise Interoperability Impact: Define foundational common data models (CDM) and business glossaries enabling cross-domain data exchange. Modern Tooling & Architecture: Leverage industry-standard CASE modeling tools, metadata frameworks, and modern data platform concepts. Collaborative Onsite Environment: Partner directly alongside enterprise architects, technical specialists, and business leads in a dedicated workspace. Responsibilities Develop and maintain end-to-end data architectures across complex and distributed environments, determining data flow, distribution, database locations, and data access methods. Design, build, and maintain conceptual, semantic, logical, and physical data models using CASE and data modeling tools such as ERwin, PowerDesigner, or Visio. Develop enterprise, canonical, common, and domain data models to support interoperability, seamless information exchange, and data sharing across multiple business domains. Establish and reconcile standard business vocabularies, controlled vocabularies, business glossaries, canonical business definitions, and semantic relationship models. Define and document business entities, attributes, relationships, hierarchies, and underlying business rules. Facilitate business and technical workshops to reconcile terminology, align definitions, and achieve consensus across organizational boundaries. Design and implement master data structures, reference data models, naming conventions, and metadata standards. Review conceptual, logical, and physical data models for quality, normalization, and adherence to established enterprise standards. Author and deliver comprehensive architecture artifacts, data lineage documentation, and checkpoint deliverables for architecture review boards. Provide data prototyping, proof-of-concept design, and strategic technical recommendations supporting data integration, migration, and modernization projects. Qualifications Hands-on Data Modeling Expertise: Demonstrated experience developing conceptual, logical, physical, and semantic data models within large or medium-scale systems environments (Strictly Required). Enterprise Canonical & Common Data Models: Extensive experience developing enterprise, common, canonical, and domain data models that support interoperability, information exchange, and data sharing across multiple business domains (Strictly Required). Data Architecture Principles & Standards: Deep knowledge of data architecture methodologies, data modeling/normalization standards, repository functions, and best practices (Strictly Required). Semantic Models & Business Glossaries: Proven experience developing business glossaries, controlled vocabularies, reference data models, canonical business definitions, and semantic relationship models (Strictly Required). Stakeholder Facilitation & Reconciliation: Demonstrated experience facilitating business and technical workshops to define and reconcile business terminology, entities, relationships, and canonical definitions (Strictly Required). Data Modeling Tooling: Hands-on proficiency using data modeling tools such as ERwin, PowerDesigner, Visio, or equivalent CASE tools (Strictly Required). Nice-to-Have Assets: Prior data modeling or data architecture experience within a public sector or enterprise regulatory environment. Experience with semantic modeling, ontology development, knowledge graphs, or semantic technologies (e.g., RDF, OWL, graph databases). Familiarity with modern data platforms such as Databricks, Neo4j, or Denodo. Knowledge of Information Management principles, metadata governance solutions, and digital accessibility standards (AODA). Summary If you're interested in the "Senior Data Architect/Modeller" role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
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We are seeking an experienced Senior Data Architect/Modeller with deep, hands-on data modeling expertise across conceptual, semantic, logical, and physical layers to design and implement enterprise data architectures in complex, distributed environments. In this role, you will be responsible for defining common business vocabularies, developing enterprise canonical data models, and establishing robust reference data structures to enable interoperability and seamless information exchange across multiple business domains. Working closely with cross-functional business and technical teams, you will facilitate alignment workshops, enforce data modeling and normalization standards, create comprehensive architectural artifacts, and support enterprise data governance and modernization initiatives. Location: Toronto, ON (Fully Onsite - 5 days/week required) Duration: 12-month contract Advantages Full-Lifecycle Modeling Scope: Hands-on leadership developing conceptual, semantic, logical, canonical, and physical data models. Enterprise Interoperability Impact: Define foundational common data models (CDM) and business glossaries enabling cross-domain data exchange. ...
Modern Tooling & Architecture: Leverage industry-standard CASE modeling tools, metadata frameworks, and modern data platform concepts. Collaborative Onsite Environment: Partner directly alongside enterprise architects, technical specialists, and business leads in a dedicated workspace. Responsibilities Develop and maintain end-to-end data architectures across complex and distributed environments, determining data flow, distribution, database locations, and data access methods. Design, build, and maintain conceptual, semantic, logical, and physical data models using CASE and data modeling tools such as ERwin, PowerDesigner, or Visio. Develop enterprise, canonical, common, and domain data models to support interoperability, seamless information exchange, and data sharing across multiple business domains. Establish and reconcile standard business vocabularies, controlled vocabularies, business glossaries, canonical business definitions, and semantic relationship models. Define and document business entities, attributes, relationships, hierarchies, and underlying business rules. Facilitate business and technical workshops to reconcile terminology, align definitions, and achieve consensus across organizational boundaries. Design and implement master data structures, reference data models, naming conventions, and metadata standards. Review conceptual, logical, and physical data models for quality, normalization, and adherence to established enterprise standards. Author and deliver comprehensive architecture artifacts, data lineage documentation, and checkpoint deliverables for architecture review boards. Provide data prototyping, proof-of-concept design, and strategic technical recommendations supporting data integration, migration, and modernization projects. Qualifications Hands-on Data Modeling Expertise: Demonstrated experience developing conceptual, logical, physical, and semantic data models within large or medium-scale systems environments (Strictly Required). Enterprise Canonical & Common Data Models: Extensive experience developing enterprise, common, canonical, and domain data models that support interoperability, information exchange, and data sharing across multiple business domains (Strictly Required). Data Architecture Principles & Standards: Deep knowledge of data architecture methodologies, data modeling/normalization standards, repository functions, and best practices (Strictly Required). Semantic Models & Business Glossaries: Proven experience developing business glossaries, controlled vocabularies, reference data models, canonical business definitions, and semantic relationship models (Strictly Required). Stakeholder Facilitation & Reconciliation: Demonstrated experience facilitating business and technical workshops to define and reconcile business terminology, entities, relationships, and canonical definitions (Strictly Required). Data Modeling Tooling: Hands-on proficiency using data modeling tools such as ERwin, PowerDesigner, Visio, or equivalent CASE tools (Strictly Required). Nice-to-Have Assets: Prior data modeling or data architecture experience within a public sector or enterprise regulatory environment. Experience with semantic modeling, ontology development, knowledge graphs, or semantic technologies (e.g., RDF, OWL, graph databases). Familiarity with modern data platforms such as Databricks, Neo4j, or Denodo. Knowledge of Information Management principles, metadata governance solutions, and digital accessibility standards (AODA). Summary If you're interested in the "Senior Data Architect/Modeller" role based in Toronto, we encourage you to apply online at www.randstad.ca. Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
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