Data Integration Architect; Scientist

What You Will Do

Come join the best and brightest minds at one of the most innovative multidisciplinary research institutions engaged in strategic science on behalf of national security. 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 will be 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.

• 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.

• 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 No
    
    SQL 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.

• 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/Dev Ops methodologies.
• Experience facilitating requirements gathering sessions with subject matter expert.

The work location for this…