Data Security Architect

• 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 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:

• GCP 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.