Information Technology Specialist (Data Scientist) (Direct Hire)

Job Title

Principal Technical Subject Matter Expert for Enterprise Data Systems Engineering and Architecture

Job Description

Serve as the principal technical subject matter expert for enterprise data systems engineering and architecture, providing independent oversight and guidance for large-scale modernization and consolidation efforts across Earth science data systems.

Oversee and coordinate the transition of distributed data archive and user services functions to a unified operational model, ensuring interoperability, scalability, and alignment with agency priorities.

Provide technical leadership and architectural guidance for developing and implementing foundational data products, ensuring systems support reproducibility, traceability, and open science principles across the Earth science data lifecycle.

Serve as the programs' technical liaison between headquarters program offices and center-level teams, coordinating systems engineering activities and ensuring consistent architectural standards across multi-center and multi-organizational efforts.

Evaluate and provide recommendations on emerging technologies and architectural approaches to support the long-term modernization of earth science data ingest, archive, and distribution systems, including cloud-based service delivery models.

Coordinate with high-end computing programs and stakeholders to assess computational requirements, evaluate integration opportunities, and ensure Earth science data systems can leverage advanced computing resources for mission objectives.

Provide divisional representation, technical expertise, and guidance for consolidating core cloud services across SMD, evaluating architectural options and ensuring transitions are technically sound, sustainable, aligned with enterprise standards.

Represent the Earth science division in technical forums, working groups, and interagency discussions, preparing and delivering briefings and technical assessments for senior leadership and stakeholders on data systems engineering initiatives.