Senior Data Modeler: Enterprise AI-Ready Data Architecture

Teradata; Providence (RI); On-site; USD 102,000 - 153,000; Full time

Job summary

Teradata is seeking a Senior Data Modeler to lead the design and evolution of enterprise-scale data models. You will translate complex business domains into scalable conceptual, logical, and physical models across multiple domains and platforms.

You will standardize modeling practices, collaborate with engineering, governance, and AI teams, and ensure data is organized for scalability and governance within Teradata Context Engine and related platforms.

Qualifications

• Strong SQL and database design expertise.
• Hands-on experience creating conceptual, logical, and physical data models for large-scale environments.
• Experience modeling enterprise-wide domains and integrating data across complex systems.
• Deep understanding of relational, dimensional, and analytical schema design.
• Experience with cloud data platforms and modern data architectures.

Responsibilities

• Design and maintain enterprise data models across multiple domains.
• Create scalable models for transactional systems, analytics, and AI workloads.
• Develop canonical data models and semantic layers for enterprise understanding.
• Drive standardization of entities, relationships, and business definitions.
• Collaborate with data engineers to implement varied modeling techniques.

Skills

SQL proficiency

Relational modeling

Enterprise data architecture

Data modeling fundamentals

Education

Bachelor's or Master's degree in CS/IS/Data Management/Math/Engineering

Tools

Erwin

ER/Studio

SAP PowerDesigner

Lucidchart

Visio

Collibra

Alation

Informatica

Microsoft Purview

Job description

Teradata is seeking a Senior Data Modeler to lead the design and evolution of enterprise-scale data models. You will translate complex business domains into scalable conceptual, logical, and physical models across multiple domains and platforms.

You will standardize modeling practices, collaborate with engineering, governance, and AI teams, and ensure data is organized for scalability and governance within Teradata Context Engine and related platforms.