Intermountain Health - Lincoln, NE
posted 2 months ago
The data architect is responsible for designing, creating, and managing an organization's data architecture. This role is critical in establishing a solid foundation for data management within an organization, ensuring that data is organized, accessible, secure, and aligned with business objectives. The data architect designs warehouses, file systems, and databases, and defines how data will be collected and organized. This position requires a deep understanding of data systems and the ability to translate business needs into technical solutions that enhance data integration and quality. In this role, the data architect interprets and delivers impactful strategic plans that improve data integration, data quality, and data delivery in support of business initiatives and roadmaps. They are responsible for designing the structure and layout of data systems, including databases, warehouses, and lakes. The architect selects and implements database management systems that meet the organization's needs by defining data schemas, optimizing data storage, and establishing data access controls and security measures. Additionally, they define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. The data architect also designs and implements processes for the ETL (Extract, Transform, Load) process from various sources into the organization's data systems. They translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards. Managing senior business stakeholders is crucial to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps. The architect simplifies the existing data architecture, delivering reusable services and cost-saving opportunities in line with the policies and standards of the company. Furthermore, the data architect leads and participates in the peer review and quality assurance of project architectural artifacts across the Enterprise Architecture (EA) group through governance forums. They define and manage standards, guidelines, and processes to ensure data quality, working closely with IT teams, business analysts, and data analytics teams to understand data consumers' needs and develop solutions. Evaluating and recommending emerging technologies for data management, storage, and analytics is also a key responsibility of this role.