Data Modeler

NTT DATA BUSINESS SOLUTIONS; Bengaluru; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

NTT DATA BUSINESS SOLUTIONS is seeking a Data Modeller to join our Bengaluru team. The role focuses on translating business requirements into scalable data models and data warehouse structures, including dimensional models.

You will collaborate with data architects, developers, and stakeholders to define data entities, relationships, and standards. The ideal candidate will have hands-on experience with data governance, metadata management, and cloud platforms like Azure, Snowflake, and

Qualifications

• Experience designing and maintaining enterprise data models.
• Knowledge of dimensional modeling (star/snowflake) and relational databases.
• Ability to translate business requirements into data standards and entities.
• Familiarity with data governance, security, privacy, and regulatory compliance.

Responsibilities

• Analyze business requirements and translate them into data models.
• Design scalable data models and data warehouse structures.
• Collaborate with stakeholders to define data entities and relationships.
• Develop data dictionaries, metadata, and mappings.
• Support ETL/ELT teams with source-to-target mappings.
• Review and improve existing data models and governance practices.

Skills

Data modeling

SQL

Data governance

Data profiling

Education

Bachelor's degree in CS/IT or related

Tools

Azure

Snowflake

Databricks

Job description

Job Summary

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

• Analyze business requirements and translate them into conceptual, logical, and physical data models that support enterprise reporting, analytics, and operational systems.
• Design and maintain scalable data models, including dimensional models (star and snowflake schemas), normalized databases, and data warehouse structures.
• Collaborate with business stakeholders, data architects, and development teams to define data entities, relationships, business rules, and data standards.
• Develop and maintain data dictionaries, metadata repositories, lineage documentation, and data mapping specifications.
• Ensure data models align with data governance, security, privacy, and regulatory compliance requirements.
• Optimize database designs to improve query performance, data quality, scalability, and maintainability across enterprise platforms.
• Support ETL/ELT development teams by providing source-to-target mappings and guidance on data integration requirements.
• Conduct data analysis and profiling activities to identify data quality issues, inconsistencies, and opportunities for standardization.
• Work with modern cloud data platforms such as Azure, Snowflake, Databricks, Microsoft Fabric, or similar technologies to design and govern enterprise data assets.
• Review and enhance existing data models, recommend best practices, and support strategic initiatives involving master data, analytics, AI, and business intelligence solutions.