Enterprise Data Modeler jobs in United States
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SAIC · 3 days ago

Enterprise Data Modeler

SAIC is seeking an Enterprise Data Modeler to support their Prime Program, Landmark AOS in Chantilly, VA. This role involves providing specialized engineering expertise for multi-intelligence cloud-based data framework services, assisting in the development and maintenance of comprehensive data architecture to support strategic decision-making.

Information TechnologySecurityService IndustrySoftware
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Work & Life Balance
badNo H1BnoteSecurity Clearance RequirednoteU.S. Citizen Onlynote

Responsibilities

Drive technical and architectural direction of data evolution roadmap that includes data ingestion, storage, reporting, MLS solutions, RBAC/ABAC access controls, security markings, and data science analytics
Gather and decompose requirements, guiding stakeholders to best-practices in building modern data solutions predominantly using the AWS technology stack
Partner directly with the application teams to propose, define, implement and track new mission solutions and technologies
Create conceptual, logical, and physical data models and define data domains, propose data standards, and oversee data integration, pipelines, and access methods
Analyze structured and semi-structured data sets from a variety of sources; design, document, and manage enterprise data models and processes; and develop new data flows in support of mission analytics
Execute a data governance program that creates mission value from enterprise data while adhering to applicable compliance requirements
Apply systems analysis and design methodology assessments to identify technical debt, architectural runway and efficiency trade-offs against current and proposed/desired cloud-based software system design
Develop briefings and documentation material including developing technical roadmaps and the acquisition strategies/documentation to implement them
Support SAFe agile process evolution across Government teams, development contractors, user engagement teams, and stakeholders

Qualification

Data modelingData architectureAWS technology stackCloud software architectureData management practicesAgile software developmentMS OfficeTechnical documentationTeam collaborationOral communicationWritten communication

Required

Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience. Relevant experience to be substituted in lieu of degree
Active Top Secret Clearance with Polygraph
3+ years of experience in data modeling and/or data architecture
Strong engineering background with knowledge of cloud software architecture, data management practices and IC/DOD ontologies
Experience supporting system architecture, design or development in an AWS/C2S environment
Domain knowledge in Agile software development practices
Demonstrated capability and success working in team environments
Strong oral and written communications ability on significant technical matters often requiring coordination within a high-tempo environment
Good working knowledge of MS Office applications

Company

SAIC specializes in IT, enterprise IT, engineering, and professional services.

Funding

Current Stage
Public Company
Total Funding
$522.13M
Key Investors
U.S. Geothermal
2025-09-22Post Ipo Debt· $500M
2010-09-13Post Ipo Equity· $22M
2006-10-13IPO

Leadership Team

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Robert Fecteau
IT Advisor to CEO
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Prabu Natarajan
Chief Financial Officer
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Company data provided by crunchbase