Cloud/Data Security Architect
Phoenix, AZ
Day 1 Onsite – 5 days a week.
Description and Location
Role: Engineer II Premium (Cloud Security Consultant) Focus: Security assessment of Google Cloud Platform-based conversational AI, telephony, API, and backend integration architecture.
Responsibilities
Assess the end-to-end architecture from a data security and privacy standpoint.
Review security controls for Google Cloud Platform Shared VPC, interconnects, service accounts, IAM, and network segmentation.
Implement Sentinel policies for enforcing encryption standards and data access standards.
Implement database activity monitoring and blocking rules in Google Cloud Platform.
Assess AI-specific risks, including prompt/context leakage, model input/output handling, and knowledge store access.
Produce a findings report with risk ratings, gaps, and remediation recommendations.
Review data flows across:
Google Cloud Platform service projects
Virtual agents / conversational AI
Telephony platforms
API proxies
Datastore, BigQuery, Cloud Storage
On-prem / Amex systems of record
Identify risks related and implement controls related to:
Blocking Customer data exposure
PII handling
Encryption in transit and at rest
Secrets and key management, Users and NHI authentication.
Database activity Logging, monitoring, and auditability
Data retention and deletion
Required Skills
Strong experience in cloud security architecture, preferably Google Cloud Platform.
Hands-on knowledge of:
Google Cloud Platform IAM
VPC / Shared VPC
Cloud Run / GKE
BigQuery
Cloud Storage
Datastore / Firestore
Cloud KMS / Secret Manager
Experience assessing data protection controls for PII, PCI, or regulated customer data.
Knowledge of API security, including OAuth, mTLS, token handling, gateways, and service-to-service authentication.
Familiarity with network security, private connectivity, firewalls, segmentation, and hybrid cloud interconnects.
Understanding of logging, SIEM integration, audit trails, and security monitoring.
Experience with threat modeling and architecture risk reviews.
Preferred Skills
Experience with conversational AI / virtual agent platforms.
Knowledge of telephony/SIP integrations and contact center platforms.
Experience with PCI DSS, NIST, ISO 27001, SOC 2, or financial services security standards.
Familiarity with AI data governance, model safety, and GenAI security risks
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