Job Details

Enterprise Data Architect
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Position Number: 5902694
Location: Lubbock, TX
Position Type: Computer and Information Technology

Enterprise Data Architect
Lubbock
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.

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.

Minimum Hire Rate

To apply, visit workattexastech.com

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.