Intermountain Health - Little Rock, AR
posted 2 months ago
The Data Architect is responsible for designing relational and dimensional databases, applying relational theory and business process analysis to develop logical data models, and converting these models into physical database objects using data modeling CASE tools. This role involves developing and implementing enterprise-level strategies and principles for the integration of enterprise information resources, defining corporate standards for data architecture, format, quality, and database design. The Data Architect also plays a crucial role in the design, development, and implementation of ETL processes. As a Staff level Data Architect, the individual will independently manage moderately complex projects and their components, validating analysis, models, and data conversion and quality assurance processes. This position requires close collaboration with leadership and customers at the corporate level to develop integrated and standardized business intelligence solutions. The Data Architect is expected to record detailed logical and physical data models in the information repository, facilitating database design sessions and translating business requirements into logical and physical system designs for moderately complex projects. The role includes coordinating the physical database design and implementation process, designing optimal data presentation environments, and monitoring database performance, including optimization and indexing schemes. Additionally, the Data Architect will develop, test, and implement ETL routines, document business requirements, and ensure proper integration with existing data standards and business processes. Leadership for moderately complex projects will be provided through the development of project work plans, resource utilization recommendations, milestone tracking, and coordination of project team efforts. The Data Architect will also assist in developing system backup, recovery, and support plans, addressing customer needs, managing expectations, and ensuring system-wide integration. Participation in the technical review process of designs completed by other designers is also a key responsibility, along with developing and delivering complex ad-hoc queries of production data as requested by business users.