Data Modeler
Job Description
Job Title: Data Modeller
Location: Pune & Bangalore
Experience: 7 – 15 Years
Work Mode: Hybrid (3 Days Onsite)
Shift Timing: ...
Job Description
Job Title: Data Modeller
Location: Pune & Bangalore
Experience: 7 – 15 Years
Work Mode: Hybrid (3 Days Onsite)
Shift Timing: EMEA Shift (12:30 PM – 9:30 PM IST)
Role Overview
We are looking for an experienced Data Modeller with strong expertise in enterprise-scale data modelling , particularly within the wealth management and banking domain . The role involves designing and maintaining logical and physical data models, ensuring high data quality, consistency, and alignment with business requirements.
Key Responsibilities
• Design and develop Logical and Physical Data Models for enterprise-level banking and wealth management systems
• Build and maintain data models for wealth domain entities such as Client, Portfolio, Product, and Transactions
• Collaborate with business stakeholders, data architects, and engineering teams to translate business requirements into data structures
• Define and enforce data standards, naming conventions, and metadata management practices
• Ensure consistency and reusability through canonical data models
• Work closely with data engineering teams to support data integration and performance optimisation
• Maintain data lineage, data dictionaries, and documentation for governance purposes
• Support data governance initiatives and tools implementation
Mandatory Skills
• Strong experience in Logical & Physical Data Modelling (enterprise-grade systems)
• Hands-on experience in wealth management data modelling
• Proficiency in data modelling tools such as:
• ERwin
• ER Studio
• PowerDesigner
• Strong understanding of data standards, metadata management, and naming conventions
Secondary / Good-to-Have Skills
• Knowledge of SQL and database performance optimisation
• Exposure to modern data platforms (e.g., Snowflake, Cloud environments)
• Experience with data governance and lineage tools (e.g., Collibra)
• Understanding of core banking platforms (e.g., Avaloq or similar systems)
• Familiarity with wealth management domain data structures and processes
Key Competencies
• Strong analytical and problem-solving skills
• Excellent stakeholder communication and collaboration
• Attention to detail and data quality focus
• Ability to work in a fast-paced, global environment
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