The Data Architect is primary responsible to design, deploy, manage and mature data architecture to enable the intended business architecture. Key functions include: understand business strategy and architecture, set data architecture principles, create data models to describe key data assets and their business value, develop roadmap for data and data technologies to enable implementation of intended business architecture and apply architecture principles and standards to broadly influence choice, timing, pace and maturation of various information technology platforms. As an integral part of Enterprise Architecture, this role is expected to foster effective relationships in Business and IT, contribute to the development of overall architecture practice and strategy, and support enterprise initiatives that promote data dexterity and stewardship. Develop target data architecture that enables intended business architecture and architecture vision, while addressing request for architecture work and stakeholder concerns. Identify candidate architecture roadmap components based upon gaps between baseline and target data architectures. Create data and information architecture maps, viewpoints and metadata to contribute to business capability framework for domain and enterprise models. Create and maintain data maps of internal and external sources of data, including descriptive business meaning of associated data, information about each sourceâs provenance from origination(s) to target(s), its use, timeliness, associated quality metrics, and details about applications or organizations that maintain data and the technologies in which it is stored, integrated, manipulated, analyzed, and consumed. Where possible, data documentation should include associated semantics including mapping to biomedical standards to adequately understand subtle differences in meaning and promote the reuse, interoperability, and effective analysis of data. Define integrative views of data that draws from across the enterprise to meet Business needs. Work with Business, business architects, data technology engineers, and application designers to identify and model integrative data views and determine service requirements attributes, including relative data quality, currency, availability, response times and data volumes with associated technology solutions and processes (from procurement to use\/consumption).