AI-Ready Enterprise Data Architect & Semantic Modeler

Univedge Consulting LLC; United States; On-site; USD 150,000 - 190,000; Full time

Job summary

Univedge Consulting LLC is seeking an experienced Enterprise Data Architect & Semantic Modeler to design, govern, and operationalize enterprise data models, semantic layers, and AI-ready data products for the OCI AIDP Lakehouse. The role requires hands-on expertise in canonical and dimensional modeling, data governance, metadata, and lineage across ERP to analytics domains.

You will partner with governance, security, platform, and business teams to deliver trusted, scalable, and reusable data

Qualifications

• 8+ years in enterprise data architecture and modeling.
• Experience with data governance, metadata, and lineage.
• Hands-on design of semantic layers for analytics and AI-ready data.
• Ability to partner across governance, security, and engineering teams.

Responsibilities

• Design conceptual, logical, physical, canonical, and semantic data models.
• Define reusable modeling patterns for Bronze, Silver, and Gold layers.
• Establish enterprise standards for keys, relationships, hierarchies, naming conventions, metadata.
• Develop semantic structures enabling GenAI, RAG, and self-service analytics.
• Collaborate with Data Product Owners and stakeholders to translate requirements into scalable data architectures.

Skills

Enterprise data architecture

Data modeling

Semantic modeling

Data governance

Lakehouse

SQL

Stakeholder engagement

GenAI

Tools

OCI Data Catalog

Oracle AIDP

OCI

Delta Lake

Apache Iceberg

Job description

Univedge Consulting LLC is seeking an experienced Enterprise Data Architect & Semantic Modeler to design, govern, and operationalize enterprise data models, semantic layers, and AI-ready data products for the OCI AIDP Lakehouse. The role requires hands-on expertise in canonical and dimensional modeling, data governance, metadata, and lineage across ERP to analytics domains.

You will partner with governance, security, platform, and business teams to deliver trusted, scalable, and reusable data