Senior Enterprise Data Modeler for AI-Ready Analytics

Teradata; Phoenix (AZ); Presencial; USD 102 000 - 153 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Healthcare coverage

401(k) retirement plan

Resumo da oferta

Teradata is seeking a Senior Data Modeler to lead enterprise-scale data modeling across domains, enabling analytics, AI, and knowledge platforms. You will design conceptual, logical, and physical models and collaborate with engineering, governance, and analytics teams.

The role emphasizes adherence to data standards, scalability, and governance, with mentoring of junior modelers and influence on long-term data strategy within Teradata Context Engine and related platforms.

Qualificações

• 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.
• Demonstrated hands-on expertise 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 working with cloud-based data platforms and modern data architectures.
• Proven ability to bridge business and technical stakeholders.

Responsabilidades

• Design and maintain enterprise conceptual, logical, and physical data models across multiple business domains.
• Create scalable data models supporting transactional systems, operational platforms, analytics, machine learning, and AI workloads.
• Develop canonical data models, business information models, and semantic layers that enable consistent enterprise understanding of data.
• Drive standardization of entities, relationships, taxonomies, hierarchies, and business definitions across the organization.
• Define and enforce data modeling best practices, naming conventions, modeling patterns, and architecture standards.
• Model data for modern cloud data platforms, data lakes, lakehouses, warehouses, and real-time streaming architectures.
• Collaborate with data engineers to implement dimensional, normalized, denormalized, and domain-oriented data models.
• Support data product development initiatives and data mesh architectures.
• Design models that support advanced analytics, AI, machine learning, RAG applications, semantic search, and knowledge management platforms.
• Build and maintain business-friendly semantic representations that improve discoverability and reuse.
• Contribute to enterprise ontology, taxonomy, and knowledge graph initiatives where applicable.
• Partner with data governance teams to align models with data quality, stewardship, privacy, security, and compliance requirements.
• Establish traceability between business definitions, metadata, source systems, and downstream data assets.
• Ensure model consistency across operational, analytical, and AI ecosystems.
• Support master data management (MDM) and reference data initiatives.
• Work directly with business stakeholders to understand complex processes and translate them into enterprise information models.
• Mentor junior modelers, architects, and engineers on data modeling principles and best practices.
• Lead architecture reviews and influence long-term data strategy.
• Drive cross-functional alignment across product, engineering, analytics, governance, and architecture organizations.

Conhecimentos

Data modeling

Enterprise architecture

SQL / database design

Cloud data platforms

Stakeholder collaboration

Mentoring

Formação académica

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

Ferramentas

Erwin

ER/Studio

Collibra

Alation

Microsoft Purview

Descrição da oferta de emprego

Teradata is seeking a Senior Data Modeler to lead enterprise-scale data modeling across domains, enabling analytics, AI, and knowledge platforms. You will design conceptual, logical, and physical models and collaborate with engineering, governance, and analytics teams.

The role emphasizes adherence to data standards, scalability, and governance, with mentoring of junior modelers and influence on long-term data strategy within Teradata Context Engine and related platforms.