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 glossari

📌 11802 (Toronto)
🏢 Maarut
📍 Toronto