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We are currently seeking a Data Scientists / Extraction 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
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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 R&D.
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.
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