Data Scientist Engineer Advisor at NTT DATA, Inc. Indiana

Req ID: 377875

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.

We are currently seeking a Data Scientist Engineer Advisor 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 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 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.

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