Senior Data Architect & Modeler for Enterprise AI

Teradata; Austin (TX); Hybrid; USD 102,000 - 153,000; Full time

Benefits offered by this job

Competitive pay

Benefits package

Flexible work model

Job summary

Teradata seeks a Senior Data Modeler to lead enterprise-scale data model design across analytics, AI, and knowledge platforms. You will translate complex domains into scalable conceptual, logical, and physical models and partner with engineering, governance, and AI teams to ensure data is organized for scalability, interoperability, and AI readiness.

The role emphasizes establishing standards, collaboration with data engineers, and driving enterprise consistency across data estates in Teradata

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, Mathematics, Engineering, or related field.
• 8+ years of experience in data modeling, information architecture, or enterprise data architecture.
• Hands-on experience creating conceptual, logical, and physical data models for large-scale enterprise environments.
• Deep understanding of relational modeling theory, normalization, dimensional modeling, and analytical schema design.
• Experience modeling enterprise-wide business domains and integrating data across complex systems.
• Strong SQL and database design expertise.
• Experience with cloud-based data platforms and modern data architectures.
• Proven 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 supporting transactional systems, operational platforms, analytics, ML, and AI workloads.
• Develop canonical data models, business information models, and semantic layers for consistent enterprise understanding.
• Drive standardization of entities, relationships, taxonomies, hierarchies, and business definitions.
• Define and enforce data modeling best practices, naming conventions, modeling patterns, and standards.
• Model data for modern cloud data platforms, data lakes/warehouses, and real-time architectures.
• Collaborate with data engineers to implement various modeling approaches and data meshes.
• Support data product development initiatives and governance programs.
• Design models for analytics, AI, RAG, semantic search, and knowledge systems.

Skills

Enterprise data modeling

Data architecture

SQL

Cloud data platforms

Data governance

Stakeholder influence

Education

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

Tools

Erwin

ER/Studio

PowerDesigner

Lucidchart

Collibra

Alation

Informatica

Microsoft Purview

Databricks

Snowflake

Synapse

Job description

Teradata seeks a Senior Data Modeler to lead enterprise-scale data model design across analytics, AI, and knowledge platforms. You will translate complex domains into scalable conceptual, logical, and physical models and partner with engineering, governance, and AI teams to ensure data is organized for scalability, interoperability, and AI readiness.

The role emphasizes establishing standards, collaboration with data engineers, and driving enterprise consistency across data estates in Teradata