IT Applications Enterprise Data Architect

Pantex, Inc.
Amarillo, TX, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours
Job source

Tech stack

Third Normal Form Artificial Intelligence Amazon Web Services Software Applications Microsoft Azure Big Data Cloud Database Data Architecture Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL)
+23 more
Data Migration Data Security Dataspaces Data Structures Data Vault Modeling Data Warehousing Dimensional Modeling Machine Learning Data Streaming Enterprise Data Management Data Processing Feature Engineering Data Ingestion Azure Data Factory Data Strategy Data Lakes Information Technology Data Analytics Data Management Machine Learning Operations Physical Data Models Data Pipelines Serverless Computing

Job description

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, 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.

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, Machine Learning Operations (MLOps), and cloud-native services to drive continuous improvement in the enterprise data capability.

Requirements

Do you have experience in Model training?, * 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

Department of Energy (DOE) Order 426.2A Requirements, * 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.
  • The ability to obtain and maintain a Department of Energy Q clearance is required.

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Health insurance

About the company

At Pantex, you won’t just find a job-you’ll discover a career of purpose safeguarding national security through work performed nowhere else on Earth. We empower dedicated, innovative individuals like you to achieve their greatest impact surrounded by exceptional talent and limitless opportunities for professional growth. When you #JointheMission, you choose a lifetime career where your commitment is genuinely valued and rewarded. At Pantex, we believe that extraordinary talent thrives when supported by a balanced life. Discover the flexibility that empowers you to excel, coupled with a benefits package designed for your total peace of mind from comprehensive health coverage and robust retirement planning, to opportunities for continuous learning through education reimbursement.

Notes

The minimum education and experience for the lowest career level in the job posting range are listed under Minimum Job Requirements. Successful candidates hired into a higher career level than the minimum in the range must meet the requirements listed in the job leveling charts for the career level into which they are being hired. If a range of Career Levels is posted, i.e., Senior Associate to Senior Specialist, internal applicants already in one of the Career Levels would come across at their current Career Level. Internal applicants currently in a lower level Career Level would move to the lowest posted Career Level. Requires a Q clearance; however all qualified candidates will be considered regardless of their current clearance status. The ability to obtain and maintain a Department of Energy Q clearance is required. Position may require entry into Materials Access Areas (MAA) and participation in the Human Reliability Program (HRP). If HRP is required, candidate must complete a counterintelligence-scope polygraph, pursuant to 10 Code of Federal Regulations (CFR) 709. Medical requirements may apply. Pantex is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement physical, drug screening and background investigation. As an employee, you may be required to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to sensitive information or matter. U.S. citizenship is a requirement for security clearance applicants. All employees are subject to random selection for drug testing without advance notification. Pantex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, religion, national origin, ancestry, genetic information, disability or veteran status.

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