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Tier-1 brand and metro location increase competition despite seniority.
Senior data platform leadership is transferable across industries but payments/regulatory context increases domain specificity.
Explicit 15+ years, mandatory cloud/data platform expertise, and leadership requirements make screening highly strict.
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Drive design and implementation of scalable, secure data and AI platforms across AWS and Azure.
Establish platform strategy, governance, best practices, and lead cross-geography data and platform engineering teams.
Lead development of cloud-native data solutions including lakehouse architectures and DevOps pipelines with focus on security and compliance.
Bachelor’s degree in computer science, engineering, or related field (or equivalent experience).
15+ years of experience in cloud and data platform architecture, DevOps, or related technical roles.
Proven hands-on expertise with AWS and Azure services, cloud security, data engineering frameworks, and DevOps tooling.
Work Experience Required: 15+ years relevant experience.
Experienced leader skilled in architecting and delivering medallion (Bronze, Silver, Gold) lakehouse architectures in production environments.
Proven ability to lead global, cross-functional engineering teams and influence stakeholders in complex environments.
Strong focus on operational excellence with expertise in cloud security, governance frameworks, multi-cloud DevOps, and cost optimization.