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Senior specialized role reduces applicant density despite Bangalore location and recognizable bank brand.
Enterprise data modeling and governance for banking demands domain-specific skills, limiting cross-industry transferability.
Explicit 14+ years requirement plus Data Vault, Snowflake, Collibra, and governance mandates strict filtering.
Lead enterprise-wide data modeling initiatives aligning architecture with business strategy and goals.
Develop and enforce data modeling standards, governance frameworks, and best practices for improved data quality and consistency.
Provide architectural leadership for integrating diverse data sources and platforms, ensuring scalable and future-ready solutions.
14+ years of experience in enterprise data modeling, data architecture, data governance, and information management.
Expertise in conceptual, logical, and physical data modeling; Data Vault 2.0; dimensional and semantic data modeling; and data governance tools like Collibra.
Strong experience with modern data platforms including AWS and Snowflake and proficiency with data modeling tools such as ERwin Data Modeler.
Work Experience Required: 14+ years; Location: Bangalore; Role Type: Hybrid.
Experienced in leading data architecture and modernization initiatives within complex, multi-domain business environments.
Capable of strategic collaboration with business, architecture, engineering, and governance teams to drive consensus and data-driven decision making.
Proven mentor and influencer with ability to establish best practices, lead training, and engage at industry forums in data modeling and governance.