Location: Los Alamos, NM
Cap-Exempt H-1B Position — No lottery required
**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 s