Senior Data Modeler for AI-Driven Knowledge Platforms

Teradata; San Diego (CA); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Teradata seeks a highly experienced Senior Data Modeler to lead enterprise-scale data modeling across domains including analytics, AI, and knowledge platforms. This role emphasizes scalable conceptual, logical, and physical models and collaboration with engineering, analytics, governance, and AI teams.

You will establish modeling standards, ensure scalability, interoperability, and AI readiness for Context Engine and related platforms.

Qualifications

• Bachelor's/Master's in CS, IS, Data Management, Math, Engineering or related field.
• 8+ years in data modeling, information architecture or enterprise data architecture.
• Hands-on experience creating conceptual, logical and physical data models for large-scale environments.
• Deep understanding of relational modeling, normalization, dimensional and analytical schema design.
• Experience modeling enterprise-wide domains and integrating data across complex systems.
• Strong SQL and database design expertise.
• Experience with cloud-based data platforms and modern data architectures.
• Ability to bridge business and technical stakeholders.

Responsibilities

• Design and maintain enterprise conceptual, logical, and physical data models across domains.
• Create scalable models for transactional, operational, analytics, ML, and AI workloads.
• Develop canonical data models, business information models and semantic layers.
• Drive standardization of entities, relationships, taxonomies, hierarchies and definitions.
• Define and enforce data modeling best practices and architecture standards.
• Model data for modern cloud data platforms and real-time architectures.
• Collaborate with data engineers to implement various modeling approaches.
• Support data product development and data mesh architectures.
• Design models supporting analytics, AI, ML, RAG and knowledge systems.
• Build semantic representations to improve discoverability and reuse.
• Contribute to enterprise ontology, taxonomy, and knowledge graphs.

Skills

Conceptual Modeling

Logical Modeling

Physical Modeling

Dimensional Modeling

Data Vault Modeling

Domain‑Driven Design

Semantic Modeling

SQL

Cloud Data Platforms

Enterprise Architecture

Education

Bachelor's degree in Computer Science / Information Systems / Data Management / Mathematics / Engineering

Master's degree in related field

Tools

Erwin

ER/Studio

SaaP PowerDesigner

Lucidchart

Visio

Collibra

Alation

Informatica

Microsoft Purview

Job description

Teradata seeks a highly experienced Senior Data Modeler to lead enterprise-scale data modeling across domains including analytics, AI, and knowledge platforms. This role emphasizes scalable conceptual, logical, and physical models and collaboration with engineering, analytics, governance, and AI teams.

You will establish modeling standards, ensure scalability, interoperability, and AI readiness for Context Engine and related platforms.