Design, build, secure, and operate the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant with enterprise governance standards
Job Summary
Design, build, secure, and operate the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant with enterprise governance standards.
Implement and maintain security controls for the enterprise data platform, including encryption, secrets management, and secure access patterns.
Work closely with Data Engineers, Governance Leads, and Analysts to ensure data pipelines, workflows, and products adhere to security and platform standards.
Matching Summary
Design, build, secure, and operate the Enterprise Data & AI platform, ensuring it is reliable, cost-efficient, and compliant with enterprise governance standards.
Skills & Requirements
Must-have
Enterprise Data & AI platform
Terraform or equivalent
Cloud IAM, KMS, VPC/VNet
CI/CD frameworks
Databricks platform administration
Monitoring/observability stacks
Nice-to-have
Reliability-focused and security-first mindset
Proactive risk identification and mitigation
Experience in GCC/GCC2.0
Key Requirements
3-5 years cloud platform or security engineering
Proven experience managing large-scale data or ML platforms
Azure Security Engineer Associate
AWS Security Specialty
GCP Security Engineer
Databricks Certified Administrator or Databricks Security Engineer is a plus