Data Architect

CitiusTech; Irving (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

CitiusTech Inc. is seeking an experienced Ontology Architect to lead the design and implementation of ontologies, taxonomies, and knowledge graph solutions that enable data interoperability, analytics, and AI-driven insights across the organization.

The ideal candidate will collaborate with business stakeholders, data architects, and engineering teams to establish a scalable semantic framework supporting data management and governance for enterprise AI initiatives.

Qualifications

• 10+ years of experience in ontology engineering, semantic data modeling, knowledge graphs, metadata management, data architecture, or related domains.
• Strong expertise in RDF, OWL, SPARQL, and semantic web technologies.
• Ontology design methodologies and frameworks.
• Knowledge graph architecture and implementation.
• Enterprise metadata management and semantic modeling.
• Experience designing and implementing enterprise-scale data models and semantic frameworks.
• Strong understanding of data interoperability, taxonomy management, and information architecture.
• Proven ability to collaborate with business stakeholders, architects, and engineering teams to align semantic models with business objectives.
• Excellent communication, stakeholder management, and architectural leadership skills.

Responsibilities

• Design and maintain enterprise ontologies, taxonomies, and semantic data models.
• Define ontology standards, modeling principles, and governance processes.
• Develop conceptual, logical, and domain-specific knowledge models.
• Design and implement enterprise knowledge graph strategies and architectures.
• Map business concepts and domain entities to enterprise data assets and systems.
• Establish metadata management, semantic governance, and ontology lifecycle management practices.
• Partner with business and technical stakeholders to improve data interoperability across platforms.
• Support AI/GenAI initiatives through semantic enrichment and knowledge graph enablement.
• Ensure semantic frameworks align with enterprise architecture standards and long-term technology strategy.
• Provide thought leadership in semantic technologies, knowledge management, and emerging AI-driven data capabilities.

Skills

Ontology engineering

Semantic data modeling

Knowledge graphs

Metadata management

Data architecture

RDF/OWL/SPARQL

Ontology design methods

Enterprise data governance

Stakeholder communication

Architectural leadership

Tools

Neo4j

Stardog

Collibra

Alation

Azure

AWS

Job description

CitiusTech is a leading digital and enterprise AI company for healthcare and life sciences organizations. We enable 140+ enterprises to build a human-first ecosystem that is efficient, effective, and equitable. Leveraging deep domain expertise and next-generation technologies including AI, Cloud, Data, and Intelligent Automation, we assist our clients to realize their vision, accelerate transformation, and achieve business outcomes. With 7,700+ healthcare technology professionals worldwide, CitiusTech powers digital innovation, business transformation, and industry-wide convergence through next-generation technologies, solutions, and products.

Why CitiusTech

Healthcare isn't just another industry for us. It's our singular focus.

For 21+ years, we have combined technology and domain expertise to shape better healthcare outcomes. As part of CitiusTech, you will build future-ready skills while becoming an expert in a domain where innovation creates real human impact.

Here's an opportunity to be part of that journey.

Location: Edina, MN OR Irving, TX

Work Mode: Hybrid (3 Days – Tue, Wed, Thurs work from Office)

Job Summary

We are seeking an experienced Ontology Architect to lead the design and implementation of enterprise ontologies, taxonomies, semantic data models, and knowledge graph solutions that enable data interoperability, knowledge discovery, and AI-driven insights across the organization.

The ideal candidate will work closely with business stakeholders, domain experts, data architects, and engineering teams to establish a scalable semantic framework that supports enterprise data management, governance, analytics, and AI/GenAI initiatives. This role will be instrumental in building healthcare ontologies, driving semantic enablement, and advancing enterprise knowledge management capabilities.

Required Qualifications

• 10+ years of experience in ontology engineering, semantic data modeling, knowledge graphs, metadata management, data architecture, or related domains.
• Strong expertise in:
• RDF, OWL, SPARQL, and semantic web technologies
• Ontology design methodologies and frameworks
• Knowledge graph architecture and implementation
• Enterprise metadata management and semantic modeling
• Experience designing and implementing enterprise-scale data models and semantic frameworks.
• Strong understanding of data interoperability, taxonomy management, and information architecture.
• Proven ability to collaborate with business stakeholders, architects, and engineering teams to align semantic models with business objectives.
• Excellent communication, stakeholder management, and architectural leadership skills.

Preferred Qualifications

• Healthcare domain experience, including healthcare data standards and terminology systems.
• Hands-on experience with graph database platforms such as Neo4j, Stardog, or similar technologies.
• Experience supporting AI/GenAI, Retrieval-Augmented Generation (RAG), semantic search, and knowledge graph-driven AI solutions.
• Experience with cloud platforms such as Azure or AWS.
• Knowledge of Master Data Management (MDM) solutions and enterprise data governance practices.
• Experience with data governance and cataloging tools such as Collibra, Alation, or similar platforms.

Key Responsibilities

• Design and maintain enterprise ontologies, taxonomies, and semantic data models.
• Define ontology standards, modeling principles, and governance processes.
• Develop conceptual, logical, and domain-specific knowledge models.
• Design and implement enterprise knowledge graph strategies and architectures.
• Map business concepts and domain entities to enterprise data assets and systems.
• Establish metadata management, semantic governance, and ontology lifecycle management practices.
• Partner with business and technical stakeholders to improve data interoperability and harmonization across platforms.
• Support AI/GenAI initiatives through semantic enrichment, knowledge graph enablement, and contextual data modeling.
• Ensure semantic frameworks align with enterprise architecture standards and long-term technology strategy.
• Provide thought leadership in semantic technologies, knowledge management, and emerging AI-driven data capabilities.

Ideal Candidate Profile

• Strong background in semantic technologies, knowledge graphs, and enterprise data architecture.
• Ability to influence architecture decisions across data, engineering, product, security, and business teams.
• Passion for building scalable semantic platforms that accelerate analytics, AI adoption, and business innovation.
• Healthcare industry experience is highly preferred.

We are driven by one simple philosophy

Be You Be Awesome

We believe great careers are shaped by:

• Higher learning

You'll be encouraged to bring your perspective, challenge conventions, learn from experts, and contribute to work that directly influences the future of healthcare.

Because when people are empowered to be themselves, they do their best work.

Build expertise beyond the role

At CitiusTech, learning doesn't stop with your project responsibilities. You'll have opportunities to build expertise across emerging technologies, industry domains, and next-generation engineering practices.

• Digital Engineering (DevOps & CI/CD, Full Stack Development)
• Interoperability & Integration (HL7 and FHIR)
• Cybersecurity (IAM, Azure Security, AWS Security Hub)
• Analytics (Advanced Analytics, Predictive / Prescriptive Analytics, AI/ML Models, Healthcare Analytics)

Growth that keeps pace with your ambition

Your career journey is supported through:

• CitiusTech Academy Programs
• Leadership Development Programs
• Capability-led Learning Tracks
• Specialized Healthcare Certifications

We invest in helping our people build future-ready skills and accelerate their professional growth.

Our approach to working

We design work environments that enable teams to deliver meaningful outcomes.

Depending on project and client needs, you may work across on-site, hybrid, or flexible models to maximize impact and collaboration.

Don't see a perfect match?

We know that great talent doesn't always fit neatly into a checklist.

If you're excited by healthcare innovation, modern engineering, AI, data, cloud, or digital transformation - and believe you can create meaningful impact - we'd still love to hear from you.

Join CitiusTech. Build what’s next in Healthcare AI.

To learn more about CitiusTech, visit https://www.citiustech.com/careers and follow us on