Enterprise Data Architect

Texas Tech University
United States, Texas, Lubbock
Jan 02, 2025
Lubbock Enterprise Data Architect 39738BR TTUS Information Systems Position Description The Enterprise Data Architect is responsible for leading a team to develop standards, tools, and governance for capturing, modeling, storing, and delivering enterprise data. About the University Established in 1996, the Texas Tech University System is one of the top public university systems in the nation, consisting of five universities - Texas Tech University, Texas Tech University Health Sciences Center, Angelo State University, Texas Tech University Health Sciences Center El Paso and Midwestern State University. Headquartered in Lubbock, Texas, the TTU System is a more than $3 billion enterprise focused on advancing higher education, health care, research and outreach with approximately 21,000 employees and 63,000 students, more than 400,000 alumni, a statewide economic impact of $16.4 billion and an endowment valued at $1.7 billion. In its short history, the TTU System has grown tremendously and is nationally acclaimed, operating at 24 academic locations in 20 cities (18 in Texas, 2 international). In addition, the TTU System is one of only nine in the nation to offer programs for undergraduate, medical, law, nursing, pharmacy, dental and veterinary education, among other academic areas. Major/Essential Functions Manage experienced professionals who have independence in assignments. Identify data-related business requirements and service standards, such as transaction processing speed, data mining and reporting capabilities, data security, and scalability. Develop to a high-level enterprise data model and conceptual views of related data sub-architectures such as database, data integration, data warehouse/business intelligence, reporting metadata, and content management architectures. Influence others outside their job area regarding policies, practices, and procedures. Designs structure, and layout of data systems, including databases, warehouses, and lakes. Designs and implements processes for the ETL processes from various sources into data systems. Translates high-level business requirements into data models and appropriate metadata, test data, and data quality standards. Defines and manages standards, guidelines, and processes to ensure data quality. Required Qualifications Bachelor's degree in data architecture, computer science, MIS, IT, or other related area plus nine years related full-time paid experience OR a combination of related education and experience. Preferred Qualifications Experience with various data and web technologies in the cloud and on-premises. Experience as a Database Administrator, Data Manager, or Data Scientist is preferred, though experience in development or programming is also valuable. Experience in relational and dimensional data modeling, analytics, reporting, and visualization. Experience with SQL and web service integration, ETL, and knowledge of databased, data warehouses, Hadoop, and Spark. Experience with database performance tuning, scripting, and data quality tools. Knowledge of statistics, Python and R, machine learning, and data cleansing. Experience with team leadership, mentoring, and staff development. Knowledge of or experience with Cognos and/or PowerBI. Safety Information Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees. Does this position work in a research laboratory? No Required Attachments Professional/Personal References, Resume / CV Optional Attachments Other Documents Supporting Qualifications Job Type Full Time Pay Basis Monthly Pay Statement Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan. For additional information, please reference the institutional pay plan by visiting www.depts.ttu.edu/hr/payplan. Travel Required Up to 25% Shift Day Schedule Details Monday - Friday 8AM to 5PM Grant Funded? No Job Group Business Professionals EEO Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information or status as a protected veteran.