This role owns both the technical platform layer and the security layer for the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant
Job Summary
This role owns both the technical platform layer and the security layer for the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant.
Responsibilities include configuring and maintaining the platform, automating deployments, designing CI/CD frameworks, monitoring usage and costs, and implementing security controls.
The position requires collaboration with Data Engineers, Governance Leads, and Analysts to ensure adherence to security and platform standards.
Matching Summary
This role owns both the technical platform layer and the security layer for the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant.
Skills & Requirements
Must-have
Enterprise Data and AI platform management
Automate provisioning and deployments
CI/CD frameworks for Data Engineers
Platform reliability and uptime
Implement and maintain security controls
Role-based and attribute-based access policies
Monitor platform audit and activity logs
Nice-to-have
Reliability-focused and security-first mindset
Proactive risk identification and mitigation
Balanced approach to performance and cost
Experience in regulated industries
Experience in GCC/GCC2.0
Key Requirements
3–5 years in cloud platform engineering or security engineering
Proven experience managing and securing large-scale data or ML platforms
Cloud security certifications (Azure, AWS, or GCP)
Infrastructure-as-code experience (Terraform)
Databricks platform administration experience
Strong knowledge of monitoring/observability stacks
Incident response and audit log analysis experience