Minimum 10 years of relevant experience in Solution Architecture, Data Architecture or Enterprise Architecture.
Proven experience delivering enterprise-scale data platforms, lakehouses or analytics platforms.
Experience leading architecture across multiple workstreams and vendors.
Experience working with cloud-native data and AI platforms.
Experience working with Azure Databricks and Government-Commercial-Cloud (GCC) environments.
B. Technical & Professional Competencies Essential (Must-Have)
Cloud & Platform Engineering - Minimum 10 years' experience in cloud platform engineering, infrastructure engineering, DevSecOps or security engineering. Experience managing enterprise cloud or data platforms. Experience in GCC environments.
Cloud Technologies - Hands-on experience with Azure services, networking, storage, compute and identity management. Obtained relevant Azure Certifications.
Platform Administration - Experience administering Azure Databricks or similar data and analytics platforms. Understanding of cluster management, jobs, orchestration and platform operations. Obtained relevant Databricks Certifications.
DevSecOps & Automation - Hands-on experience with Terraform or Infrastructure-as-Code, CI/CD pipelines, Git, Scripting (PowerShell, Python or Bash)
Monitoring & Operations - Experience with monitoring, logging, incident management and operational support.
Security & Governance - Understanding of cloud security, vulnerability management, audit controls and compliance requirements.
Problem Solving & Collaboration - Strong troubleshooting, stakeholder engagement and technical documentation skills.
Preferred (Advantageous)
Azure Administrator Associate
Databricks Certified Administrator
Terraform certification
Microsoft Defender, Microsoft Sentinel, Microsoft Purview
Experience supporting AI or GenAI platforms
Experience in Government, Education or regulated environments
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