Intermountain Health - Nashville, TN
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 design the structure and layout of data systems, including databases, warehouses, and lakes, and select and implement database management systems that meet the organization's needs. This includes defining data schemas, optimizing data storage, and establishing data access controls and security measures. The architect also defines and implements the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platforms. The data architect is responsible for designing and implementing 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. Additionally, they manage senior business stakeholders to secure strong engagement and ensure that the delivery of the project aligns with longer-term strategic roadmaps. Simplifying the existing data architecture is also a key responsibility, 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 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 part of their role.