Senior Data Modeler & Enterprise Data Architect (Hybrid)

Teradata; Bismarck (ND); On-site; USD 102,000 - 153,000; Full time

Job summary

Teradata seeks a Senior Data Modeler to lead the design and evolution of enterprise-scale data models powering analytics, AI, knowledge platforms across multiple domains. This role translates complex business domains into scalable conceptual, logical, and physical models and partners with engineering, governance, and AI teams.

You will establish data modeling standards, drive enterprise-wide consistency, and ensure data is organized for scalability, interoperability, and AI readiness within

Qualifications

• 8+ years in data modeling, information architecture, or enterprise data architecture.
• Hands-on experience creating conceptual, logical, and physical data models for large-scale enterprises.
• 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 multiple domains.
• Create scalable data models for transactional systems, analytics, ML, and AI workloads.
• Develop canonical data models and semantic layers for consistent enterprise understanding.
• Standardize entities, relationships, taxonomies, and definitions across the organization.
• Collaborate with data engineers to implement dimensional, normalized, and domain-oriented models.

Skills

Data modeling

Enterprise architecture

Stakeholder collaboration

SQL

Cloud data platforms

Data governance

Metadata management

Domain-driven design

Leadership

Education

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

Tools

Erwin

ER/Studio

SAP PowerDesigner

Lucidchart

Visio

Collibra

Alation

Informatica

Microsoft Purview

Job description

Teradata seeks a Senior Data Modeler to lead the design and evolution of enterprise-scale data models powering analytics, AI, knowledge platforms across multiple domains. This role translates complex business domains into scalable conceptual, logical, and physical models and partners with engineering, governance, and AI teams.

You will establish data modeling standards, drive enterprise-wide consistency, and ensure data is organized for scalability, interoperability, and AI readiness within