Senior Enterprise Data Modeler for AI & Analytics

Teradata

Trenton (NJ)

On-site

USD 102,000 - 153,000

Full time

34 hours ago
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Job summary

Teradata is seeking a Senior Data Modeler to lead enterprise-scale data modeling across domains, enabling analytics, AI, and knowledge platforms. You will define standards, drive consistency, and collaborate with engineering, governance, and AI teams to build scalable, governed data models.

Ideal candidates bring deep hands-on modeling experience, strong SQL, and a track record of partnering with stakeholders to translate complex business domains into actionable data architectures.

Qualifications

  • Bachelor’s or Master’s degree in a related field required, with 8+ years in data modeling or enterprise data architecture.
  • Hands-on experience creating conceptual, logical, and physical models for large-scale enterprises.
  • Deep knowledge of relational modeling, normalization, dimensional modeling, and analytical schemas.
  • Experience bridging business and technical stakeholders and working with cloud platforms.
  • Strong SQL and database design expertise across modern data platforms.

Responsibilities

  • Design and maintain enterprise data models across multiple domains (conceptual, logical, physical).
  • Create scalable models for transactional systems, analytics, ML, and AI workloads.
  • Develop canonical data models, semantic layers, and governance-aligned standards.
  • Collaborate with data engineers to implement diverse modeling approaches (dimensional, normalized, domain-oriented).
  • Lead architecture reviews, mentor junior staff, and drive enterprise data strategy.

Skills

Data modeling
Enterprise architecture
SQL proficiency
Cloud data platforms
Stakeholder bridging

Education

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

Tools

Erwin
ER/Studio
PowerDesigner
Lucidchart
Visio
Collibra
Alation
Informatica
Microsoft Purview

Job description

Teradata is seeking a Senior Data Modeler to lead enterprise-scale data modeling across domains, enabling analytics, AI, and knowledge platforms. You will define standards, drive consistency, and collaborate with engineering, governance, and AI teams to build scalable, governed data models.

Ideal candidates bring deep hands-on modeling experience, strong SQL, and a track record of partnering with stakeholders to translate complex business domains into actionable data architectures.

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