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Tier-1 employer plus metro Bangalore location increases candidate competition moderately.
Requires deep enterprise data platform and financial services knowledge, limiting cross-industry portability.
Explicit 15+ years requirement and extensive mandatory data platform, governance, and cloud skills create strict filters.
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Own and execute technology strategy and modernization roadmap for Markets Intelligence, Sales Enablement, and data analytics platforms.
Lead architecture and engineering for transitioning legacy AWS Redshift to cloud-native Lakehouse architectures using Apache Iceberg and related technologies.
Drive engineering delivery, data governance, master data management, and stakeholder engagement for scalable, resilient enterprise data platforms supporting analytics and AI.
15+ years in software engineering and data platforms with technical leadership in enterprise cloud modernization.
BS/MS in Computer Science, Engineering, or related discipline.
Hands-on expertise with AWS, Databricks, Snowflake, Apache Spark, and large-scale distributed data processing.
Experience with modern data architectures including Lakehouse, Apache Iceberg, Delta Lake, and governed data access patterns.
Proven leader capable of building and managing global engineering teams and influencing cross-functional stakeholders including business and security.
Experienced in migrating enterprise data warehouses to cloud-native unified Lakehouse platforms with strong operational excellence.
Strong background in data governance frameworks, metadata management, and delivering trusted data products for AI, ML, and analytics workloads.