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Tier-1 brand, metro location, and broad data platform skillset create moderate applicant competition.
Requires deep data architecture and Azure experience, moderately transferable across industries despite healthcare preference.
Explicit 8+ years, mandatory data platform and Azure expertise enforce strict shortlisting filters.
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Define and govern scalable, secure data platform architectures aligned with business strategy and enterprise principles.
Design end-to-end data solutions including ingestion, integration, storage, processing, and analytics layers with a focus on cloud-native, event-driven, API-first architectures.
Lead architecture reviews, technology selection, and roadmap development to drive digital transformation and operational excellence across data platforms.
Bachelor’s or Master’s degree in Data Engineering, Computer Science, IT, or related field.
8+ years of experience in Data Engineering, Data & AI platform architecture, preferably in healthcare domain.
Proficiency in Microsoft Azure cloud platform and hands-on experience with modern data architectures (lakehouse, event-driven integration) and CI/CD pipelines.
Strong knowledge of security, governance, compliance, and secure software development lifecycle practices.
Experienced in designing enterprise data architectures supporting analytics, AI/ML, data governance, and operational data products.
Capable of collaborating with cross-functional global teams including architects, business stakeholders, and engineering teams.
Strategic thinker with expertise in automation, platform optimization, and driving continuous improvement initiatives.