IT Applications Enterprise Data Architect

Pantex•Amarillo, TX

11h•Onsite

About The Position

A career at Pantex can offer you the opportunity to make a personal impact on our nation. We recognize that excellent employees are absolutely critical for mission success. We are seeking an Enterprise Data Architect who will help define the enterprise-wide data strategy, architectural principles, and standards necessary to execute the organization's strategic Artificial Intelligence (AI) and advanced analytics roadmap. Primary duties include designing the conceptual, logical, and physical data models, governing the selection and integration of data platforms, and ensuring compliance with all architectural standards across the data ecosystem. Additional duties may include providing technical oversight and mentorship to Data Engineering teams, guiding the adoption of new cloud data technologies, and serving as the subject matter expert for data modeling best practices.

Requirements

Bachelor's degree in engineering/science/information technology discipline: Minimum 2 years of relevant experience.
OR Master's degree in engineering/science/information technology discipline.
OR applicants without a bachelor's degree may be considered based on a combination of at least 10 years of completed education and/or relevant experience.
The ability to obtain and maintain a Department of Energy Q clearance is required.

Nice To Haves

At least 1 year of experience focused specifically on enterprise data architecture, data modeling, and large-scale data systems.
Master's degree in a relevant technical field with minimum 3 years of relevant experience.
Experience providing technical leadership and mentoring to Data Engineering or BI teams.
Certifications in relevant cloud data architecture (e.g., AWS Certified Data Analytics, Azure Data Engineer, Data Vault).
Knowledge of enterprise security and compliance standards for data handling in highly regulated environments.
Proven expertise in defining data modeling methodologies (e.g., Dimensional Modeling, Data Vault, Third Normal Form (3NF)).
Demonstrated experience with cloud-based data platform services (e.g., AWS, Azure) and a strong understanding of ELT/ETL principles.

Responsibilities

Define and govern the principles, standards, and blueprints for all data architecture components, including data lakes, data warehouses, and data integration platforms.
Design and enforce enterprise data modeling techniques, such as Dimensional Modeling, Data Vault, and relational schemas, to support robust business intelligence and predictive systems.
Evaluate, select, and define the appropriate use cases for modern cloud data platforms (e.g., in Azure or Amazon Web Services (AWS)) and Extract, Load, Transform (ELT)/Extract, Transform, Load (ETL) tools to support high-volume data ingestion and processing.
Develop data security architecture, governance frameworks, and quality standards to ensure compliance with National Nuclear Security Administration requirements and protect sensitive information across the data environment.
Collaborate closely with the AI Solutions Architect to ensure the data platform is optimized for machine learning feature engineering, model training, and efficient model serving.
Provide expert guidance and mentorship to Data Engineers on optimizing complex data pipelines and implementing resilient, performant data structures.
Lead architectural planning for major enterprise system modernization efforts, guiding data migration and transformation strategies.
Document and communicate complex data architecture decisions, data flows, and governance policies to both technical teams and senior leadership.
Stay current with industry trends in data architecture, Machine Learning Operations (MLOps), and cloud-native services to drive continuous improvement in the enterprise data capability.