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Bengaluru metro and broad cloud/data skillset increase applicant density despite senior, specialized requirements.
Enterprise data architecture with Snowflake/AWS focus requires platform-specific experience but remains moderately transferable.
Mandatory 8+ years plus Snowflake and AWS hands-on requires strict technical screening.
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Design and implement enterprise-scale data architecture, models, and pipelines to support analytics, compliance, and business operations.
Lead selection, implementation, and maintenance of scalable, secure data platforms integrating internal and third-party systems.
Establish data quality standards, governance, and support data risk/audit readiness, enabling AI/ML and digital transformation initiatives.
8+ years experience in data architecture, data engineering, or enterprise data management.
Proven leadership in owning or leading enterprise data architecture beyond BI or pipeline development.
Hands-on expertise with Snowflake and AWS data engineering services (S3, Glue, Redshift, Lambda).
Bachelor’s degree in Cyber Security, Computer Science or related field (or equivalent experience); familiarity with privacy/compliance frameworks (SOC 2, HIPAA, GDPR, PCI DSS).
Experienced in cross-functional leadership aligning data architecture with engineering, security, and compliance.
Strong operational focus on scalable, secure, cloud-based data platform delivery and integration of diverse data sources.
Skilled in supporting advanced analytics, AI/ML use cases, and implementing data governance frameworks at enterprise scale.