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.
- 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 the health domain.
- Expertise in data mesh and/or data fabric concepts.
- A team player with a track record for meeting deadlines, analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills.
- Experience in designing/developing an automated data distribution mechanism; Knowledge and understanding of object-oriented analysis and design techniques.
- Knowledge and understanding of Information Management principles, concepts, policies and practices, dimensional and relational data models.
- Experience creating detailed data standards to enable integration with other systems.