- Develops and implements the data architecture forapplication development in a complex and distributed workplace, including thedetermination of the flow and distribution of data, the location of databases,and data access methods.
- Provides a standard common business vocabulary, expressesstrategic data requirements, outlines high level integrated designs to meetthese requirements, and aligns with the enterprise strategy and relatedbusiness architecture. General

Skills:
- Knowledge and experience in information resource managementtools and techniques
- Experience with at least two different platforms, operatingsystems, environments, database technologies, languages and communicationsprotocols
- Knowledge of performance considerations for differentdatabase designs in different environments
- Experience in structured methodologies for the design,development and implementation of applications
- Experience in systems analysis and design in large or mediumsystems environments
- Experience in the use of Computer Aided Software Engineering(CASE) tools for the development and documentation of data architectures anddetailed data models
- Experience in the use of data modelling methods and tools(e.g. ERWIN, VISIO, PowerDesigner) including a working knowledge of metadatastructures, repository functions, and data dictionaries
- Knowledge and experience in the use of information retrievalpackages
- Awareness of emerging I⁢ trends and directions
- Experience in monitoring and enforcing datamodelling/normalization standards
- Experience in developing enterprise architecturedeliverables (e.g. models) Excellent analytical, problem-solving anddecision-making skills; verbal and written communication skills; interpersonaland negotiation skills
- A team player with a track record for meeting deadlines




- Experience with middleware and gateways
- Experience in designing/developing an automated datadistribution mechanism
- Knowledge and understanding of object-oriented analysis anddesign techniques.
- Experience in developing enterprise architecturedeliverables (e.g. models) based on Ontario Government Enterprise Architectureprocesses and practice
- Knowledge and understanding of Information Managementprinciples, concepts, policies and practices
- Experience creating detailed data standards to enableintegration with other systems
- Experience reviewing conceptual, logical and physical datamodels for quality and adherence to standards
- Knowledge and understanding of dimensional and relationaldata models
- Knowledge and understanding of information resource managementtools and techniques Requirements Experience and Skill Set

Requirements:
Must Haves:
- Extensiveexperience developing enterprise, common, canonical and domain data modelsthat support interoperability, information exchange and data sharingacross multiple business domains.
- Deepknowledge of data architecture principles, methodologies, standards andbest practices.
- Demonstratedexperience establishing common business definitions, controlledvocabularies, semantic models and common data models to supportinteroperability, information sharing and enterprise data governanceacross multiple business domains.




- Experiencefacilitating business and technical workshops to define and reconcilebusiness terminology, business entities, relationships and canonicaldefinitions.
- Experiencedeveloping business glossaries, reference data models and semanticrelationship models. Skill Set

Requirements:
General

Skills:
- Demonstratedexperience developing conceptual, logical and physical data models.
- Extensiveexperience developing enterprise, common, canonical and domain data modelsthat support interoperability, information exchange and data sharingacross multiple business domains.
- Deepknowledge of data architecture principles, methodologies, standards andbest practices.
- Experienceusing data modelling tools such as ERwin, PowerDesigner, Visio orequivalent CASE tools.
- Experiencedefining business entities, relationships, hierarchies, attributes andbusiness rules.
- Extensiveexperience developing semantic data models, controlled vocabularies,business glossaries, canonical business definitions, reference datastructures and semantic relationship models.
- Demonstratedexperience establishing common business definitions, controlledvocabularies, semantic models and common data models to supportinteroperability, information sharing and enterprise data governanceacross multiple business domains.
- Experiencefacilitating business and technical workshops to define and reconcilebusiness terminology, business entities, relationships and canonicaldefinitions.
- Experiencedeveloping business glossaries, reference data models and semanticrelationship models.
- Experienceapplying domain-driven modelling and business capability analysis to thedevelopment of common data models.
- Experienceestablishing modelling standards, naming conventions and metadatarequi

📌 11802 (Toronto)
🏢 Maarut
📍 Toronto