Data Security Architect - GCP

Data Security Architect - GCPLocation: Phoenix, AZ (Day 1 onsite)Focus: Security assessment of GCP-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 GCP 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 GCP.Assess AI-specific risks, including prompt/context leakage, model input/output handling, and knowledge store access.Produce findings report with risk ratings, gaps, and remediation recommendations.Review data flows across:GCP service projectsVirtual agents / conversational AITelephony platformsAPI proxiesDatastore, BigQuery, Cloud StorageIdentify risks related and implement controls related to:Blocking Customer data exposurePII handlingEncryption in transit and at restSecrets and key management, Users and NHI authentication.Database activity Logging, monitoring, and auditabilityData retention and deletionRequired Skills:Strong experience in cloud security architecture, preferably Google Cloud Platform.Hands-on knowledge of:GCP IAMVPC / Shared VPCCloud Run / GKEBigQueryCloud StorageDatastore / FirestoreCloud KMS / Secret ManagerExperience 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.