Data Modeller

Req ID: 377870

We are currently seeking a Data Modeller to join our team in Gurgaon, Haryāna (IN-HR), India (IN).

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 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

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.