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Lawrence Livermore National Laboratory · 15 hours ago

Data Management Engineer

Livermore, CA, USA

Full-time

Hybrid

Senior Level

$169K/yr - $214K/yr

Lawrence Livermore National Laboratory (LLNL) is seeking a Data Management Engineer to enable seamless data access and delivery across enterprise business systems. The role focuses on curating data to facilitate AI and analytics, ensuring high-quality, governed data access for intelligent decision-making.

Information TechnologyMarket ResearchSecurity

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Conduct technical tasks in design, implementation, and management with data virtualization layers using tools such as Denodo to provide a unified view of enterprise data across on-prem and cloud systems

Collaborate with enterprise development teams on complex problems, virtualizing data sources relevant to Finance, HR, Procurement, Supply Chain, and other operational domains

Curate data and semantic layers to streamline AI and ML workflows

Partner with development teams to leverage existing enterprise data and create new data structures in a Denodo data virtualization environment

Collaborate with development teams to develop and enforce data governance policies, metadata standards, and data stewardship processes across operational domains

Support the creation and maintenance of LLNL enterprise-wide data catalogs, lineage, and business glossaries

Partner with application developers to provide governed, high quality data feeds for AI model development, training, and deployment

Work closely with ML engineers to ensure virtualized data sources meet performance, accuracy, and versioning requirements for real-time and batch AI use cases

Partner with both application development teams and their functional counterparts to translate operational data requirements into scalable, governed data assets

Support enterprise software and analytics development in delivering data-driven solutions for operational efficiency, forecasting, and intelligent automation

Perform other duties as assigned

Qualification

Data virtualizationDenodoData managementSQLData modelingData governanceCloud data platformsAgile/ScrumAI/ML exposureData privacy knowledgeCommunication skills

Required

Ability to obtain and maintain a U.S. DOE L-level security clearance in the future; this requires U.S. citizenship

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field

Significant experience in enterprise data management, data integration, or data architecture

Significant experience applying data virtualization concepts in a production or enterprise environment, preferably through use of Denodo

Advanced knowledge of business operations data, for example ERP systems such as Oracle Finance, Oracle HCM Cloud, PeopleSoft, or Hexagon/Infor EAM

Significant experience with SQL, data modeling, metadata management, and data cataloging

Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management