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Polymer Enclave Data Architecture and Integration Lead Active Security Clearance Required

LLNL


Job Location:

Livermore, CA - USA

Monthly Salary: Not provided by the employer
Posted: 1 October 2026 (4 days ago)
Application Deadline: 29 December 2026
Vacancies: 1 Vacancy

Job Summary

We have an opening for a Polymer Enclave Data Architecture and Integration Lead to support direct ink-write (DIW) 3D-printing technologies for NNSA Defense Programs applications. You will lead the development and sustainment of secure scalable data solutions spanning LLNL development activities and full-scale production at Kansas City National Security Campus. You will coordinate across data owners software teams manufacturing and engineering personnel cybersecurity professionals and cross-site partners. The role requires expertise in scientific data systems database technologies software integration analytics and visualization along with strong communication and leadership skills. This position is in the Computational Engineering Division (CED) within the Engineering Directorate supporting programmatic Polymer Enclave work for Strategic Deterrence (SD).

Depending on your assignment this position may offer a hybrid schedule blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

This position will be filled at either level based on knowledge and related experience as assessed by the responsibilities (outlined below) will be assigned if hired at the higher level.

In this role you will

  • Design implement maintain and improve data management systems supporting Polymer Enclave and related DIW activities.
  • Evaluate secure scalable storage database compute cloud and in-house solutions.
  • Establish sustainable data practices and develop pipelines for data collection processing validation curation and storage across teams data streams and data modalities.
  • Write clean maintainable scalable and secure Python or similar code.
  • Assess system cost performance scalability sustainability and maintainability and recommend future investments.
  • Integrate data and software solutions with Strategic Deterrence workflows systems IT requirements and applicable policies.
  • Lead and support data channels and interfaces with KCNSC and other partner sites.
  • Collaborate with manufacturing and engineering personnel provide technical guidance and communicate progress and recommendations to stakeholders.
  • Perform other duties as assigned.

Additional job responsibilities at the SES.4 level 

  • Lead the architecture implementation and sustainment of complex enterprise-scale data management systems.
  • Manage multiple technically complex efforts while balancing stakeholder priorities and operational needs.
  • Develop technical strategies and implementation road maps for master data database cloud and enclave capabilities.
  • Lead evaluations of secure cloud and in-house approaches including cost risk performance and sustainability analyses.
  • Provide technical leadership and mentorship resolve complex challenges and advise management and senior stakeholders on technical direction.

Qualifications :

  • This position requires an active Department of Energy (DOE) Q-level clearance or active Top Secret clearance issued by another U.S. government agency at the time of hire.
  • Bachelors degree in Computer Science Computer Engineering Data Science Information Systems or a related technical discipline or an equivalent combination of education and related experience.
  • Advanced experience designing implementing maintaining or administering data management systems.
  • Experience working directly with customers and stakeholders to understand requirements and deliver technical solutions.
  • Ability to independently identify gaps resolve ambiguities remove barriers and drive data-integration efforts to completion.
  • Strong proficiency in Python or a similar programming language for development of data processing and analysis workflows.
  • Advanced experience applying Large Language Models (LLM) for sustainable code generation cleaning testing and documentation.
  • Advanced verbal and written communication skills needed to effectively collaborate in a team environment present and explain technical information document work prepare and present successful proposals and high-quality research papers and provide advice to management.
  • Ability to work effectively in a multidisciplinary and collaborative environment.

Additional qualifications at the SES.4 level 

  • Expert-level experience designing and implementing databases data platforms or distributed data systems.
  • Proven ability to translate broadly defined requirements into concrete technical strategies and execution plans. Ability to manage and lead multiple complex efforts.
  • Highly advanced experience leading data management software development or technical operations teams.
  • Expert communication facilitation and collaboration skills necessary to present explain and advise senior management and/or external sponsors.

Qualifications We Desire

  • Experience developing APIs data services or integration interfaces.
  • Experience with AWS or other cloud platforms particularly in secure or restricted environments.
  • Experience evaluating cloud-oriented and in-house architectures for cost sustainability performance and maintainability.

 

Pay Range

$175530 - $267060 Annually

$175530 - $222564 Annually at the SES.3 level

$210630 - $267060 Annually at the SES.4 level

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. An employees position within the salary range will be based on several factors including specific competencies relevant education qualifications certifications experience skills seniority geographic location performance and business or organizational needs.


Additional Information :

#LI-Hybrid

Position Information

This is a Career Indefinite position open to Lab employees and external candidates.

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