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Job Description
Structured overview of role & requirementsAbout This Role
Define and drive strategy, architecture, and roadmap for enterprise data platforms supporting analytics, AI, and ML workloads.
Design, build, operate, and modernize scalable cloud-native data platform services on GCP and AWS, ensuring availability, security, compliance, and cost-efficiency.
Lead platform lifecycle management including automation (Infrastructure as Code), operational support, incident management, governance, and FinOps initiatives.
Minimum Requirements
Degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or related discipline.
Significant experience building and operating enterprise-scale data platforms with modern data architectures and ecosystems.
Experience with cloud-native data platform services (GCP, AWS, or Azure), including data warehousing, data lakes, data governance, and platform automation.
Work Experience Required: Significant experience (exact years not specified).
Ideal Candidate Profile
Strong technical leadership demonstrating strategic thinking with hands-on platform engineering expertise.
Experience collaborating across engineering, data science, analytics, and business teams to deliver reliable, secure, and efficient platform solutions.
Familiarity with multi-cloud environments, platform modernization, and FinOps practices to optimize cloud spend and platform usage.