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Data Integration Architect (Scientist 3)

Los Alamos National Laboratory

Los Alamos, NM

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JOB DETAILS
SKILLS
Agile Programming Methodologies, Alliance/Partner Management, Analysis Skills, Application Programming Interface (API), Architectural Analysis, Architectural Services, Best Practices, Cloud Computing, Communication Skills, Data Analysis, Data Management, Data Processing, Data Quality, Data Visualization Tools, Dental Insurance, DevOps, Documentation Standards, Emerging Technology, Enterprise Architecture, Government, GraphQL, Information/Data Security (InfoSec), Laboratory, Leadership, Manufacturing Execution Systems (MES), Mentoring, Messaging Middleware, Metadata, Middleware, MongoDB, Multitasking, NoSQL, Operations Security (OPSEC), Oracle, PostgreSQL, Power BI, Presentation/Verbal Skills, Problem Solving Skills, Production Systems, Programming Languages, Python Programming/Scripting Language, REST (Representational State Transfer), Relational Databases (RDBMS), Requirements Management, SQL (Structured Query Language), Stewardship, Tableau, Team Lead/Manager, Technical Delivery, Technical Leadership, Technical Writing, Tuition Fees, United States Citizen, United States Department of Energy (DOE), Use Cases, Vision Plan, Writing Skills
LOCATION
Los Alamos, NM
POSTED
1 day ago
What You Will Do

Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary research institutions engaged in strategic science on behalf of national security. The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world!

The Smart Factory & Digital Transformation Group seeks a data integration architect to design and implement robust, scalable data infrastructure supporting LANL's critical Pit Production mission. You'll serve as the key technical liaison connecting data owners, producers, and consumers across laboratory organizations, translating complex requirements into elegant integration solutions that advance our Smart Factory capabilities.

Key responsibilities include, but are not limited to:
  • Architecture & Design:
    • Analyze the existing data landscape to identify gaps, bottlenecks, and integration opportunities across multiple production systems to solve complex questions.
    • Evaluate and recommend integration patterns, tools, data pipeline frameworks, and middleware solutions aligned with enterprise standards.
    • Collaborate with development teams to integrate data flows into Smart Factory applications and manufacturing execution system.
  • Governance & Standards:
    • Establish, update, and maintain processes for data governance, security, and stewardship in compliance with DOE and LANL requirements.
    • Develop technical documentation, integration standards, and architectural decision records for enterprise-wide adoption.
  • Collaboration & Leadership:
    • Build strategic partnerships with data owners, producers, and consumers across laboratory organizations.
    • Translate business requirements into technical specifications and communicate complex architectural concepts to diverse stakeholders.
    • Mentor junior team members on data integration best practices and emerging technologies.

While the posted salary range for this position is broad, it is highly unusual for selected applicants to be hired at the top end of the range and more common for selected candidates to grow into the full salary band over time.

#shiftwork

What You Need

Minimum Job Requirements: Applicants must submit a comprehensive resume reflective of relevant experience that addresses the minimum job requirements and desired qualifications of the position below for full consideration.
  • Education/Experience: Position requires a Master's degree in a STEM field from an accredited college or university and 6 years of relevant experience; or, an equivalent combination of education and experience directly related to the occupation.
  • Analytical Skills:
    • Strong analytical skills with ability to explore, profile, and assess data sources for quality, completeness, and relevance, and recommend solutions to remediate data gaps for specific analytical use cases.
    • Experience performing exploratory data analysis to understand data relationships, patterns, and anomalies.
    • Strong investigative skills to identify, locate, and evaluate potential data sources across an enterprise.
    • Ability to understand analytical methodologies sufficiently to ensure data architectures support required analyses.
  • Data Management Expertise:
    • Demonstrated experience designing and implementing data integration solutions across heterogeneous systems.
    • Strong knowledge of relational and NoSQL databases (e.g., Oracle, PostgreSQL, MongoDB, etc.).
    • Proficiency in programming languages for data processing (e.g., Python, SQL)
    • Understanding of data governance principles, data quality frameworks, and metadata management.
  • Leadership:
    • Demonstrated ability to manage multiple priorities and projects simultaneously.
    • Track record of delivering complex technical solutions in production environments.
  • Accountability:
    • Experience working with confidential or proprietary information, classified documents, or sensitive information.
  • Communication:
    • Proven ability to work with domain experts and stakeholders to decompose complex questions into specific data requirements.
    • Excellent written and verbal communication skills, including technical documentation.

Qualifications We Desire:
  • Experience with data discovery tools and techniques (e.g., data catalogs, lineage tracking, metadata management).
  • Familiarity with the VAULTIS framework.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to communicate data insights.
  • Experience with API design and integration (e.g., REST, GraphQL, message queues).
  • Experience with at least one major cloud or on-premises data platform.
  • Experience mentoring or leading technical teams.
  • Previous work in government, DOE, or national laboratory environments.
  • Familiarity with Agile/DevOps methodologies.
  • Experience facilitating requirements gathering sessions with subject matter expert.

Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Work Schedule: This position may/will require 24/7 coverage, which could/will involve working a shift/weekend schedule. Employees may be eligible for the shift differential pay when assigned by their manager. Shift/weekend assignments are at the discretion of the manager.

Position Commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Note to Applicants: Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
  • PPO or High-Deductible medical insurance with the same large nationwide network
  • Dental and Vision insurance
  • Free basic life and disability insurance
  • Paid childbirth and parental leave
  • Award-winning 401(k) (6% matching plus 3.5% annually)
  • Learning opportunities and tuition assistance
  • Flexible schedules and time off (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50-mile radius)
Additional Details

Directive 206.2: Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by applicable federal, state and local laws and regulations.

The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call (505)-664-6947 opt. 3.

About the Company

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Los Alamos National Laboratory

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