Responsibilities:

• Develops and supports data architecture for prototype and program development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods
  
• Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture
  
• Collaborates with diverse and complex stakeholders to ensure alignment of data architecture with enterprise goals and compliance requirements.
  
• Support work coming out of OHDC recommendations related to establishing system-level data governance and stewardship
  

General Skills:

• Knowledge and experience in information resource management tools and techniques
  
• Experience with at least two different platforms, operating systems, environments, database technologies, languages and communications protocols
  
• Knowledge of performance considerations for different database 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 medium systems environments
  
• Strong knowledge of data modeling (conceptual, logical, physical) and database technologies.
  
• Experience in the use of tools for the development and documentation of data architectures and detailed data models
  
• Experience in the use of data modelling methods and tools (e.g. VISIO, PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries
  
• Awareness of emerging I&IT trends and directions
  
• Experience in monitoring and enforcing data modelling/normalization standards
  
• Experience with big data technologies and knowledge of data privacy regulations within health domain.
  
• Expertise in data mesh and/or data fabric concepts.
  
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Desirable Skills:

• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  
• A team player with a track record for meeting deadlines
  
• Experience in designing/developing an automated data distribution mechanism; Knowledge and understanding of object-oriented analysis and design techniques.
  
• Experience in leading and developing enterprise and data architecture deliverables (e.g. models, playbooks) based on Ontario Government Enterprise Architecture processes and practice
  
• Knowledge and understanding of Information Management principles, concepts, policies and practices
  
• Experience creating detailed data standards to enable integration with other systems
  
• Knowledge and understanding of dimensional and relational data models
  

Data Architecture Experience

• Develops and supports data architecture for prototype and program development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.
  
• Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture.
  
• Collaborates with diverse and complex stakeholders to ensure alignment of data architecture with enterprise goals and compliance requirements.
  
• Breadth and depth of relevant career experience.
  
• Breadth and depth of public sector and/or health sectors.
  

General Skills and Experience

• Knowledge and experience in information resource management tools and techniques
  
• Experience with at least two different platforms, operating systems, environments, database technologies, languages, and communications protocols
  
• Knowledge of performance considerations for different database 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 medium systems environments
  
• Strong knowledge of data modeling (conceptual, logical, physical) and database technologies
  
• Experience in the use of tools for the development and documentation of data architectures and detailed data model
  
• Experience in the use of data modelling methods and tools (e.g. VISIO, Power Designer) including a working knowledge of metadata structures, repository functions, and data dictionaries
  
• Awareness of emerging I&IT trends and directions
  
• Experience in monitoring and enforcing data modelling/normalization standards
  
• Experience with big data technologies and knowledge of data privacy regulations within health domain
  
• Expertise in data mesh and/or data fabric concepts
  

Desirable skills

• Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
  
• A team player with a track record for meeting deadlines
  
• Experience in designing/developing an automated data distribution mechanism; Knowledge and understanding of object-oriented analysis and design techniques.
  
• Experience in leading and developing enterprise and data architecture deliverables (e.g. models, playbooks) based on Ontario Government Enterprise Architecture processes and practice
  
• Knowledge and understanding of Information Management principles, concepts, policies and practices
  
• Experience creating detailed data standards to enable integration with other systems
  
• Knowledge and understanding of dimensional and relational data models
  

MUST HAVES:

• Develops and supports data architecture for prototype and program development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.
  
• Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture.
  
• Collaborates with diverse and complex stakeholders to ensure alignment of data architecture with enterprise goals and compliance requirements.