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Tier-1 bank and Bangalore metro increase competition, though seniority and niche skills moderate applicant density.
Core data modeling skills transfer broadly, but banking/regulatory preference increases domain specificity.
Mandatory 14+ years and specific tooling, modeling, governance requirements make shortlisting highly strict.
Lead enterprise-wide data modeling initiatives aligning data architecture with business goals and technology roadmaps.
Develop and enforce data modeling standards, governance frameworks, and best practices to ensure data quality, consistency, and trust across the enterprise.
Provide architectural leadership and mentorship in data architecture, including integration of diverse data sources and adoption of modern data platforms such as AWS and Snowflake.
14+ years of experience in enterprise data modeling, data architecture, data governance, and information management.
Strong expertise in conceptual, logical, and physical data modeling including Data Vault 2.0, Dimensional Modeling, Semantic Data Modeling, and Master Data Management (MDM).
Hands-on experience with data modeling tools such as ERwin Data Modeler, and familiarity with governance tools like Collibra.
Job location: Bangalore; Role type: Hybrid.
Experienced leader with demonstrated ability to design complex, cross-functional data models and drive enterprise data architecture strategy.
Proven influencer capable of collaborating across business, architecture, engineering, analytics, and governance teams to establish and enforce data standards and governance frameworks.
Technical expertise supporting data modernization, analytics, AI, and digital transformation initiatives in a large-scale, regulated environment, preferably banking industry.