Data Modeler

Req ID: 395801

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Modeler to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Job Description – Data Modeler

Role Title: Data Modeler – Enterprise Data Architecture & Modeling
Location: PAN India
Experience: 10+ years of overall experience, with strong hands-on experience in enterprise data modeling

Position Summary

We are seeking an experienced Data Modeler to design, develop, and maintain scalable enterprise data models supporting analytics, reporting, operational applications, data warehousing, and data integration initiatives.

The Data Modeler will collaborate closely with business stakeholders, Data Architects, Data Engineers, analysts, application teams, and governance teams to translate complex business requirements into well-defined conceptual, logical, and physical data models.

The ideal candidate will have strong hands-on experience in enterprise data modeling, relational and dimensional modeling, data warehousing, cloud data platforms, metadata management, and data governance. The role requires the ability to establish consistent data definitions, relationships, standards, and modeling practices across multiple business domains and technology platforms.

Key Responsibilities

Enterprise Data Modeling

• Design, develop, and maintain conceptual, logical, and physical data models for enterprise data platforms, analytics solutions, and business applications.
• Translate complex business requirements, business processes, and data requirements into scalable and reusable data structures.
• Develop and maintain:
• Relational data models
• Dimensional data models
• Star schemas
• Snowflake schemas
• Domain-oriented data models
• Define entities, attributes, relationships, primary keys, foreign keys, business keys, hierarchies, and reference-data structures.
• Design models that appropriately support transactional, analytical, historical, and reporting requirements.
• Perform model normalization and denormalization based on application, integration, analytics, and performance requirements.

Data Warehousing & Analytics Modeling

• Design dimensional models for enterprise data warehouses, data marts, and modern analytics platforms.
• Define facts, dimensions, measures, hierarchies, and grain based on business and analytical requirements.
• Design appropriate approaches for maintaining historical information, including Slowly Changing Dimensions (SCDs).
• Ensure models support reporting, BI, advanced analytics, and downstream data-consumption requirements.
• Partner with Data Engineers to ensure models can be effectively implemented within ETL/ELT and data-processing pipelines.

Data Standards & Governance

• Define and enforce enterprise data-modeling standards, naming conventions, data types, and modeling best practices.
• Partner with business and technical stakeholders to establish consistent definitions for critical business data.
• Support master data, reference data, metadata management, and data-governance initiatives.
• Identify authoritative data sources and help establish consistent definitions and relationships across enterprise systems.
• Contribute to the development and maintenance of business glossaries and data dictionaries.
• Participate in architecture and model design reviews to ensure proposed solutions comply with enterprise architect