Job Title: Data Modeler
Experience Level: 7 - 10 years
Location: Pune
Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

Job Summary

We are seeking an experienced Data Vault Modeler / Data Architect to lead the design and implementation of enterprise-scale Data Vault 2.0 solutions within banking, risk, and regulatory data domains. The ideal candidate will have strong hands-on expertise in conceptual, logical, and physical data modeling, deep understanding of banking and financial services, and the ability to collaborate across business, risk, and data-engineering teams to deliver scalable, auditable, and compliant data architectures.

Key Responsibilities:

Data Modeling & Architecture

· Lead the design and implementation of enterprise-scale data models using Data Vault 2.0 methodology, including Hubs, Links, and Satellites.

· Develop and maintain conceptual, logical, and physical data models to support banking, risk, finance, and regulatory reporting use cases.

· Ensure data models are scalable, auditable, and compliant with regulatory and internal governance standards.





Banking, Risk & Regulatory Alignment

· Collaborate closely with business, risk, finance, and compliance stakeholders to translate requirements into robust data-vault structures.

· Support regulatory and risk initiatives such as BCBS 239, risk aggregation, financial controls, and regulatory reporting.

· Design data models that enable traceability, lineage, and auditability across source systems and downstream consumption layers.

Standards, Governance & Metadata

· Define, document, and enforce data modelling standards, naming conventions, historization rules, and data-vault best practices.

· Ensure solid alignment between source-to-vault and vault-to-consumption layers.

· Work with metadata, lineage, and data-governance teams to ensure consistency and transparency across the data ecosystem.

ETL / ELT & Analytics Enablement

· Support ETL/ELT development teams by providing opt

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