Data Modeller

NTT DATA, Inc.; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

NTT DATA, Inc. is looking for a Senior Data Modeler based in Gurugram, Haryana. This role demands over 8 years of experience in designing data models for enterprise systems, specifically strong expertise in financial data structures.

The qualified candidate will be responsible for the design, development, and maintenance of complex data models, ensuring data quality and governance. The firm values innovative individuals ready to grow in an inclusive environment.

Qualifications

• 8+ years of experience in data modeling, data architecture, or related data design roles.
• Strong experience with financial data structures.
• Ability to define and document entities, attributes, relationships, keys, and constraints.

Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models.
• Create scalable and efficient models for financial data structures.
• Perform entity mapping across multiple source systems.

Skills

Data modeling

Financial data structures

Entity mapping

Document metadata modeling

Schema design for SQL and NoSQL

Analytical skills

Education

Bachelor's degree in Computer Science, Information Systems, Data Management, Finance, Engineering or related field

Tools

ER/Studio

ERwin

Lucidchart

Visio

Job description

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 Senior Data Modeler to join our team in Gurugaaon, Haryana, India.

Job Title

Senior Data Modeler

Job Summary

We are looking for an experienced Senior Data Modeler with 8+ years of experience in designing and managing complex data models for enterprise and financial systems. The ideal candidate should have strong expertise in financial data structures, entity mapping, document metadata modeling, schema design for SQL and NoSQL databases, and a deep understanding of fund, LP, and GP data structures. This role requires a professional who can translate business requirements into scalable, high‑quality logical and physical data models that support analytics, operations, integrations, and governance.

Key Responsibilities

• Design, develop, and maintain conceptual, logical, and physical data models for enterprise applications and data platforms
• Create scalable and efficient models for financial data structures, including fund, LP, and GP data domains
• Perform entity mapping across multiple source systems, business domains, and target platforms
• Design and manage document metadata models to support search, classification, governance, and retrieval
• Develop schema designs for both SQL and NoSQL databases
• Work closely with business stakeholders, data architects, engineers, analysts, and product teams to understand and translate data requirements
• Define data relationships, hierarchies, classifications, and business rules across structured and semi‑structured datasets
• Ensure consistency, standardization, and quality across enterprise data models
• Support integration of data models across operational systems, reporting platforms, and downstream applications
• Participate in data governance, metadata management, and master/reference data initiatives
• Analyze current data structures and recommend improvements for scalability, usability, and maintainability
• Create and maintain data dictionaries, mapping documents, model diagrams, and design documentation
• Support data quality initiatives through model validation and alignment with business definitions
• Collaborate with engineering teams to ensure model implementation aligns with architecture and business intent

Required Skills and Qualifications

• 8+ years of experience in data modeling, data architecture, or related data design roles
• Strong experience with financial data structures
• Strong understanding of fund, LP, and GP data structures
• Hands‑on experience in entity mapping across systems and domains
• Expertise in document metadata modeling
• Strong experience in schema design for both SQL and NoSQL databases
• Deep understanding of conceptual, logical, and physical data modeling techniques
• Ability to define and document entities, attributes, relationships, keys, and constraints
• Experience working with structured, semi‑structured, and metadata‑driven datasets
• Knowledge of data quality, data governance, and metadata management principles
• Strong analytical, documentation, and communication skills
• Experience collaborating with technical and business stakeholders in enterprise environments

Preferred Qualifications

• Experience in financial services, investment management, private equity, or related domains
• Familiarity with regulatory or governance‑driven data environments
• Exposure to data integration, master data management, and reference data concepts
• Experience with data modeling tools such as ER/Studio, ERwin, Lucidchart, Visio, or similar
• Understanding of document management or content metadata platforms
• Experience supporting data lake, warehouse, or enterprise data platform initiatives

Key Competencies

• Enterprise data modeling
• Financial domain knowledge
• Metadata and schema design
• Cross‑system entity mapping
• Data quality and governance alignment
• Business‑to‑data translation
• Strong documentation and stakeholder collaboration

Sample Focus Areas

• Financial data structures
• Fund / LP / GP data models
• Entity mapping
• Document metadata modeling
• SQL / NoSQL schema design

Education

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Finance, Engineering, or a related field (preferred)

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For Pay Transparency information, see https://us.nttdata.com/en/about/pay-transparency. If you are requested to provide payment or disclose banking information, please submit a contact us form at https://us.nttdata.com/en/contact-us.