Senior Data Architect/Modeller

About the role

Requirements: What you'll need

Skills, Knowledge, Experience, and Qualifications:

General Skills

• Demonstrated experience developing conceptual, logical and physical data models.
• Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
• Deep knowledge of data architecture principles, methodologies, standards and best practices.
• Experience using data modelling tools such as ERwin, PowerDesigner, Visio or equivalent CASE tools.
• Experience defining business entities, relationships, hierarchies, attributes and business rules.
• Extensive experience developing semantic data models, controlled vocabularies, business glossaries, canonical business definitions, reference data structures and semantic relationship models.
• Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
• Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
• Experience developing business glossaries, reference data models and semantic relationship models.
• Experience applying domain-driven modelling and business capability analysis to the development of common data models.
• Experience establishing modelling standards, naming conventions and metadata requirements.
• Experience designing reference data and master data structures.
• Experience supporting interoperability, information exchange and data integration initiatives.
• Experience developing architecture artefacts and checkpoint deliverables with traceability to business architecture requirements.
• Knowledge of metadata management, data lineage and data governance principles.
• Experience supporting data migration, integration and modernization initiatives.
• Strong analytical, problem-solving and communication skills.

Resource will support the following deliverables:

• Common Data Model (CDM)
• Canonical Data Model
• Conceptual Data Models
• Logical Data Models
• Semantic Data Models
• Business Glossary
• Controlled Vocabulary
• Canonical Business Definitions
• Reference Data Models
• Semantic Relationship Models
• Data Standards and Naming Conventions
• Architecture artefacts supporting architecture governance and review processes
• Data interoperability and information exchange recommendations
• Data prototyping and proof-of-concept activities

Desirable Skills

• Experience developing common data models, business vocabularies and semantic frameworks for regulatory, permitting, licensing, compliance or public-sector programs involving multiple business domains and stakeholder groups.
• Experience with semantic modelling, ontology development or knowledge graph concepts.
• Knowledge of RDF, OWL, graph databases or semantic technologies.
• Experience with Databricks, Neo4j, Denodo or equivalent data platforms.
• Experience with metadata repositories and governance solutions.
• Knowledge and understanding of Information Management principles, concepts, policies and practices.
• Knowledge and understanding of AODA and related standards.
• Experience supporting permitting, regulatory, licensing or public sector business domains.

Must Have:

• Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
• Deep knowledge of data architecture principles, methodologies, standards and best practices.
• Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
• Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
• Experience developing business glossaries, reference data models and semantic relationship models.
• Hands-on data modeling experience - conceptual, semantic, logical and physical