Data Architect IV

Noblis; Chantilly (VA); On-site; USD 146,000 - 228,000; Full time

Job summary

Noblis is seeking a Data Architect IV in Chantilly, VA, to design and govern an enterprise-scale data and intelligence layer. You will bridge traditional data infrastructure with graph-based semantic modeling to power AI reasoning and analytics.

The role requires deep expertise in RDF/OWL/SPARQL, knowledge graphs, distributed systems, and cloud deployments. Collaboration with AI/ML teams is essential for scalable, production-grade graph assets.

Qualifications

• US Citizenship required and TS clearance eligibility.
• 10+ years in data architecture or distributed systems design.
• Expertise in semantic web standards and knowledge graphs.
• Experience with cloud deployments across AWS/Azure/GCP.
• Proven ability to build scalable enterprise data platforms.
• Experience with GraphRAG and LLM-integrations is a plus.

Responsibilities

• Designs and governs an enterprise-scale data and intelligence layer.
• Create knowledge graphs and ontologies using RDF/OWL/SPARQL.
• Architect hybrid retrieval systems combining graph queries and vector search.
• Develop distributed data systems with real-time AI pipelines.
• Ensure data governance, metadata, and secure semantic reuse.
• Collaborate with AI/ML teams to support LLM consumption.
• Integrate semantic tech with cloud and orchestration platforms.

Skills

Data architecture

Graph databases

W3C semantic web

Cloud platforms (AWS/Azure/GCP)

GraphRAG / hybrid retrieval

Knowledge graphs

Education

Bachelor's degree

Master's degree

PhD (preferred)

Tools

Neo4j

Amazon Neptune

TigerGraph

RDF/OWL/SPARQL

Job description

Responsibilities

Noblis is seeking a Data Architect IV to support our customer in Chantilly VA.

Noblis is seeking a Data Architect IV to support our customer in Chantilly VA. The Data Architect IV Designs and governs a unified, enterprise-scale data and intelligence layer that integrates traditional infrastructure with graph-based semantic modeling to power advanced AI reasoning and relationship-driven analytics. Bridges data engineering and semantic technologies to build contextually rich data ecosystems optimized for autonomous, agentic workflows and hybrid retrieval (GraphRAG) architectures. Utilizes deep expertise in distributed data systems, streaming architectures, vector integrations, and W3C semantic web standards (RDF, OWL, SPARQL) to design the knowledge graphs, ontologies, and data lineage pipelines necessary to feed continuously evolving context to LLMs. Collaborates closely with AI/ML engineering teams to establish robust data governance, metadata management, and secure semantic reuse frameworks to ensure the scalable, high-performance delivery of graph assets across the enterprise.

Key Responsibilities

• Designs and governs a unified, enterprise-scale data and intelligence layer that integrates traditional data infrastructure with graph-based semantic modeling, building contextually rich data ecosystems optimized for advanced AI reasoning and relationship-driven analytics.
• Designs knowledge graphs, ontologies, and data lineage pipelines using W3C semantic web standards (RDF, OWL, SPARQL) to feed continuously evolving context to LLMs, ensuring semantic richness and interoperability across enterprise data assets.
• Architects hybrid retrieval (GraphRAG) systems that combine graph-based semantic querying with vector search and traditional retrieval methods to power autonomous, agentic workflows and multi-step reasoning capabilities.
• Designs and implements distributed data systems, streaming architectures, and vector integrations that support high-throughput, low-latency data delivery for real-time AI inference and analytics pipelines.
• Establishes robust data governance, metadata management, and secure semantic reuse frameworks to ensure data quality, lineage traceability, and compliance across the enterprise data ecosystem.
• Collaborates closely with AI/ML engineering teams to translate model requirements into scalable data architectures, ensuring graph assets and semantic layers are optimized for LLM consumption, agentic workflows, and production-grade AI systems.
• Ensures the scalable, high-performance delivery of graph assets across the enterprise by integrating semantic technologies with cloud platforms, vector databases, and orchestration frameworks to support evolving mission requirements.

Required Qualifications

• US Citizenship is required.
• Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
• Bachelor's degree iwith 10+ years of experience.
• Eexperience in data architecture, data engineering, or distributed systems design, with demonstrated expertise designing enterprise-scale data platforms and intelligence layers.
• Deep expertise in W3C semantic web standards (RDF, OWL, SPARQL), knowledge graph design, ontology engineering, and data lineage pipeline development, with proven ability to build graph-based semantic models that power AI reasoning.
• Proven experience designing and implementing distributed data systems, streaming architectures, and vector integrations that support high-throughput, low-latency data delivery for AI/ML workloads.
• Demonstrated experience architecting hybrid retrieval systems (GraphRAG) that combine graph-based semantic querying with vector search to power agentic workflows and LLM-driven reasoning.
• Proven track record establishing robust data governance, metadata management, and secure semantic reuse frameworks at enterprise scale.
• Deep technical expertise deploying data architectures across cloud platforms (AWS, Azure, or GCP), including vector databases, graph databases, and orchestration frameworks.

Desired Qualifications

• Active TS/SCI with CI Polygraph
• Master's degree or PhD in Computer Science, Data Science, Information Science, or a related field; PhD preferred.
• Experience integrating semantic data layers and knowledge graphs directly with LLM-based systems, including prompt augmentation, context injection, and agentic workflow orchestration.
• Expertise in graph database platforms (such as Neo4j, Amazon Neptune, TigerGraph, or equivalent) and experience deploying graph assets at enterprise scale.
• Experience with MLOps, DataOps, or platform engineering practices for managing data pipelines and model serving infrastructure.
• Intelligence Community Experience: Experience supporting federal, defense, intelligence, or national security missions with enterprise data architecture and semantic technologies.

#UpcomingJobOpportunity

Overview

Noblis and our wholly owned subsidiaries, Noblis ESI and Noblis MSD, take on some of the nation’s toughest challenges, delivering advanced solutions to our customers’ most critical missions. We bring together leading scientific, engineering, and management expertise in a culture grounded in objectivity and collaboration, ensuring our work creates lasting impact across federal missions.

We work with a broad range of government agencies in the defense, intelligence, and federal civilian sectors. Learn more and find opportunities at careers.noblis.org

Why Work at Noblis

At Noblis, we share a passion for excellence and innovation, and we create an environment where people can do meaningful work while maintaining the balance that keeps them energized and fulfilled. We seek out individuals with a natural curiosity and desire to collaborate and learn. We believe our people are our greatest strength, and we consistently seek exceptionally skilled, mission‑driven professionals who care deeply about doing work that enriches lives and makes our nation safer.

Noblis has earned numerous workplace awards for our culture, our commitment to employee well‑being, and our dedication to meaningful, impactful work. We also maintain a drug‑free workplace.

Remote/hybrid status is subject to change based on Noblis and/or government requirements.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.

If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.

EEO is the Law | E-Verify | Right to Work

EEO is the Law | E-Verify | Right to Work

Total Rewards

At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work‑life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.

Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract‑specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on‑call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis’ total compensation package.

Posted Salary Range

USD $146,200.00 - USD $228,400.00 /Yr.