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Tier-1 brand, metro location, broad solution architect title, and wide skill requirements increase candidate competition.
Role requires specialist data platform, governance, and Azure experience, limiting cross-industry transferability.
Explicit 8+ years, mandatory data platform architecture and Azure proficiency indicate strict shortlisting filters.
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Define and govern scalable solution and data platform architectures aligned with enterprise standards and business objectives.
Design and establish architecture patterns for cloud-native, event-driven, API-first, and data-centric solutions including data lakes, warehouses, and real-time processing.
Lead cross-functional collaboration, technology selection, architecture reviews, and drive platform automation initiatives to ensure successful implementation and operational excellence.
Bachelor’s or Master’s degree in Data Engineering, Computer Science, Information Technology, or related field.
Minimum 8+ years experience in Data Engineering, Data & AI platform architecture, preferably in healthcare domain.
Proficiency with Microsoft Azure cloud platform and strong hands-on skills in programming, data integration frameworks, ETL/ELT, and modern data architecture patterns.
Strong knowledge of security, governance, compliance, and secure SDLC practices as per enterprise policies.
Experienced in designing enterprise data architectures supporting analytics, AI/ML, operational data products, and data governance requirements.
Capable of managing multiple projects and collaborating effectively with global cross-functional teams including product owners, architects, and engineering.
Demonstrated ability to lead automation, platform optimization, operational excellence, and continuous improvement in complex digital transformation environments.