Develops and implements the data architecture forapplication development in a complex and distributed environment, 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&IT 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 metadatarequirements.
Experiencedesigning reference data and master data structures.
Experiencesupporting interoperability, information exchange and data integrationinitiatives.
Experiencedeveloping architecture artefacts and checkpoint deliverables withtraceability to business architecture requirements.
Knowledgeof metadata management, data lineage and data governance principles.
Experiencesupporting data migration, integration and modernization initiatives.
Stronganalytical, problem-solving and communication skills.
Resource will support the following deliverables:
CanonicalData Model
ConceptualData Models
BusinessGlossary
ControlledVocabulary
CanonicalBusiness Definitions
SemanticRelationship Models
DataStandards and Naming Conventions
Architectureartefacts supporting architecture governance and review processes
Datainteroperability and information exchange recommendations
Dataprototyping and proof-of-concept activities
Experiencedeveloping common data models, business vocabularies and semanticframeworks for regulatory, permitting, licensing, compliance orpublic-sector programs involving multiple business domains and stakeholdergroups.
Experiencewith semantic modelling, ontology development or knowledge graph concepts.
Knowledgeof RDF, OWL, graph databases or semantic technologies.
Experiencewith Databricks, Neo4j, Denodo or equivalent data platforms.
Experiencewith metadata repositories and governance solutions.
Knowledgeand understanding of Information Management principles, concepts, policiesand practices.
Knowledgeand understanding of AODA and related standards.
Experiencesupporting permitting, regulatory, licensing or public sector businessdomains.
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11802 in Toronto employer: Maarut
At Maarut, we pride ourselves on being an exceptional employer in Ottawa, offering a dynamic work culture that fosters collaboration and innovation. Our commitment to employee growth is evident through mentorship opportunities and professional development programs tailored for actuarial leaders. With a focus on strategic impact and a supportive environment, we empower our team to make meaningful contributions while enjoying the unique advantages of working in Canada's vibrant capital.
