- Develops and implements the data architecture forapplication development in a complex and distributed setting, 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.

📌 11802 (Toronto)
🏢 Maarut
📍 Toronto