Data Architect - Knowledge Graph & AI (Hybrid)

ZS; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid working model

Travel opportunities

Job summary

ZS is hiring a Data Architect - Knowledge Graph & AI to design enterprise-scale information architectures that connect business concepts, data domains, and technology. You will translate complex data landscapes into connected, contextualized information assets and semantic models.

The ideal candidate understands diverse data domains, defines entities and relationships, and works across Data Governance, IT, and SMEs to deliver scalable information designs.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related field.
• 5+ years in Data Engineering, Data Architecture, or related areas.
• Strong data acumen, modeling concepts and domain translation.
• Hands-on with Python, SQL, APIs, ETL, and cloud data platforms.

Responsibilities

• Design information architectures and semantic models including Knowledge Graphs.
• Define entities, relationships, hierarchies, and mappings for reusable data models.
• Integrate structured and unstructured data across enterprise systems and APIs.
• Translate business requirements into scalable data and semantic designs.
• Create end-to-end architectures spanning sources, processing and consumption.
• Apply semantic technologies to solve data problems and coach others.

Skills

Data modeling

Knowledge Graphs

Ontologies

Semantic modeling

Python

SQL

APIs

Graph databases

Cloud platforms

End-to-end architecture

Education

Bachelor's degree in CS/IS/Engineering or related field

Tools

Graph databases

Job description

ZS is hiring a Data Architect - Knowledge Graph & AI to design enterprise-scale information architectures that connect business concepts, data domains, and technology. You will translate complex data landscapes into connected, contextualized information assets and semantic models.

The ideal candidate understands diverse data domains, defines entities and relationships, and works across Data Governance, IT, and SMEs to deliver scalable information designs.