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Data Modeller

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Hybrid

Data Modeller

Capco

Data Modeller

Skills

CRM

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

22 September 2026

What they need


Job Description: Data Modeler Developer

Location: Bangalore / Pune
Experience: 7-15 Years

Role Purpose
Design and maintain high-quality enterprise data models for Private Banking and Wealth platforms, ensuring consistent, governed, and scalable data structures across client, portfolio, and transaction domains. This role focuses on data modelling, metadata, and data design, supporting integration across multiple banking systems while adhering to enterprise data standards.

Key Responsibilities:

  • Design and maintain conceptual, logical, and physical data models aligned to enterprise standards
  • Develop data models across key wealth domains including client, account, portfolio, product, and transactions
  • Translate business and functional requirements into robust data structures and schemas
  • Define and maintain data models supporting integration across core banking, CRM, and digital platforms
  • Establish and manage data entity relationships, hierarchies, and normalization standards
  • Perform detailed metadata design, including naming standards, definitions, data types, and attribute structures
  • Ensure all data models comply with data governance, quality, and control frameworks
  • Maintain data model documentation, standards, and reusable artefacts
  • Support data lineage and traceability through well-structured modelling practices
  • Collaborate with engineering teams to support implementation of data models into databases and data platforms
  • Ensure consistency of data models across multiple systems and platforms
  • Contribute to enterprise data standards, modelling guidelines, and best practices
  • Participate in design reviews and architecture governance forums
  • 5-8 years of experience in data modelling
  • Strong experience in Private Banking / Wealth Management domain
  • Understanding of wealth data structures (client lifecycle, portfolio, transactions, products)
  • Experience working with multi-system banking environments

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