Enterprise Data Architect - Lubbock, United States - Texas Tech University

Description

Lubbock

Enterprise Data Architect

36755BR

Application Development and Support

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 1923, Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution.

Located on a beautiful 1,850-acre campus in Lubbock, a city in West Texas with a growing metropolitan-area population of over 300,000, the university enrolls over 40,000 students with 33,000 undergraduate and 7,000 graduate students.

As the primary research institution in the western two-thirds of the state, Texas Tech University is home to 10 colleges, the Schools of Law and Veterinary Medicine, and the Graduate School.

The flagship of the Texas Tech University System, Texas Tech is dedicated to student success by preparing learners to be ethical leaders for a diverse and globally competitive workforce.

It is committed to enhancing the cultural and economic development of the state, nation, and world.

About Lubbock:

Referred to as the "Hub City" because it serves as the educational, cultural, economic, and health care hub of the South Plains region, Lubbock boasts a diverse population and a strong connection to community, history, and land.

With a mild climate, highly rated public schools, and a low cost of living, Lubbock is a family-friendly community that is ranked as one of the best places to live in Texas.

Lubbock is home to a celebrated and ever-evolving music scene, a vibrant arts community, and is within driving distance of Dallas, Austin, Santa Fe, and other major metropolitan cities.

Lubbock's Convention & Visitors Bureau provides a comprehensive overview of the Lubbock community and its resources, programs, events, and histories.

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 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.

Optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries.
Implement policies and strategies for short-term and long-term results.
Influence others outside their job area regarding policies, practices, and procedures.
Work with IT and other functional leadership from the Texas Tech University Systems institutions.
All appropriate institutional policies (including IT Ops) and other relevant internal departmental policies must be adhered to.
Assist with any other relevant activities as requested by departmental and divisional leadership.

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

KNOWLEDGE, SKILLS, AND ABILITIES
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 databases, 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.

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

Cover Letter, Resume / CV

Optional Attachments

Professional/Personal Reference, Professional License/Certification

Job Type

Full Time

Pay Basis

Monthly

Minimum Hire Rate

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

Travel Required

Up to 25%

Shift

Day

Schedule Details

8am - 5pm; M-F

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.

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