Data Management Engineer

LLNL

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profile Job Location:

Livermore, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

We have an opening for an experienced Data Management Engineer to enable seamless data access and delivery across our enterprise business systems such as Finance HR and Procurement. This role will focus on curating data to enable AI and analytics by leveraging data virtualization tools such as Denodo ensuring consistent governed and real-time access to distributed data assets. You will work at the intersection of data governance AI enablement and enterprise operations partnering with application developers and business analysts to ensure the right data is available high quality and ready for intelligent decision-making. This position is in the Enterprise Application Services (EAS) Division within the Computing Directorate in support of the LivIT Program.

This position offers a hybrid schedule blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. 

You will

  • 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.

Qualifications :

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

Qualifications We Desire

  • Denodo Platform Certified Architect or Developer.
  • Significant experience working within Agile/Scrum environments supporting cross-functional development teams.
  • Exposure to AI and ML tooling ecosystems for example Databricks Azure ML or SageMaker.
  • Advanced experience with cloud data platforms for example Snowflake Redshift BigQuery or Databricks and API-based data access.
  • Familiarity with data privacy laws data residency and compliance relevant to Finance HR and health-related data.

Additional Information :

#LI-Hybrid

Position Information

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

Why Lawrence Livermore National Laboratory

We have an opening for an experienced Data Management Engineer to enable seamless data access and delivery across our enterprise business systems such as Finance HR and Procurement. This role will focus on curating data to enable AI and analytics by leveraging data virtualization tools such as Denod...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG idea ... View more

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