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IT Data Architect

Job in Amarillo, Potter County, Texas, 79161, USA
Listing for: Pantex Plant
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: IT Applications Data Architect

Location: Amarillo, TX - Pantex Plant

Job Title: IT Applications Data Architect

Career Level From: Associate

Career Level To: Senior Specialist

Organization: NSE Integration Services )

Job Specialty: Service Transition

What You'll Do

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.

Core Responsibilities And Duties
  • 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, and Transform (ELT)/Extract, Transfer and 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 (NNSA) 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.
Other Responsibilities And Duties
  • 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, MLOps, and cloud-native services to drive continuous improvement in the enterprise data capability.
What You Can Expect
  • Meaningful work and unique opportunities to support missions vital to national and global security.
  • Top-notch, dedicated colleagues.
  • Generous pay and benefits with a stable organization.
  • Work-life balance fostered through flexible work options and wellness initiatives.
Minimum

Job Requirements
  • Bachelor’s degree (BS) in engineering/science discipline
  • OR applicants without a bachelor's degree may be considered based on a combination of at least 8 years of completed education and/or relevant experience
Preferred

Job Requirements
  • Minimum of 2 years of relevant experience in IT, with at least 2 years focused specifically on enterprise data architecture, data modeling, and large-scale data systems.
  • Proficiency in defining data modeling methodologies (e.g., Dimensional Modeling, Data Vault, Third Normal Forms (3NF)).
  • Demonstrated experience with cloud-based data platform services (e.g., AWS, Azure) and a strong understanding of ELT/ETL principles.
  • Master's degree (MS) in a relevant technical field with minimum 3 years of relevant experience.
  • Proven expertise in defining data modeling methodologies (e.g., Dimensional Modeling, Data Vault, 3NF).
  • Experience providing technical leadership and mentoring to Data Engineering or Business Intelligence (BI) teams.
  • Certifications in relevant cloud data architecture (e.g., AWS Certified Data Analytics, Azure Data Engineer, Data…
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