Data Security Controls Architect Cloud Data

Hiring Alert | Data Security & Controls Architect Cloud, Data & AI Security

Location: Remote (USA)
Employment Type: Full-Time
Experience Required: 10 15 Years

• Strong experience in security architecture for cloud, data, and AI environments.

• Expertise in Identity and Access Management (IAM), Zero Trust, encryption, secrets management, secure APIs, logging, auditability, and data-loss prevention.

• Experience securing sensitive datasets across IT, OT, and third-party workflows.

• Knowledge of data access controls, privacy, retention policies, and security governance.

• Ability to collaborate with engineering teams to implement security controls without disrupting delivery or platform usability.

• Industrial cybersecurity and connected products.

• Sensor data security and IT/OT convergence.

• Secure MLOps and AI platform security.

• Policy-as-code and container security.

• Software supply-chain security controls.

• Privacy engineering and regulatory compliance.

• Define security, privacy, retention, audit, and access-control architecture for multimodal data pipelines, AI training datasets, annotation workflows, model environments, and connected engineering platforms.

• Design identity, authentication, authorization, and privileged-access patterns for users, services, pipelines, repositories, and machine identities.

• Establish RBAC/ABAC, least-privilege access, segregation of duties, encryption, key management, secure data transfer, and controlled data-sharing practices.

• Translate data classification, privacy, export-control, retention, and audit requirements into enforceable security controls.

• Integrate security checks into CI/CD pipelines, repositories, data pipelines, containers, and model workflows.

• Develop threat models, security control mappings, audit evidence requirements, and remediation plans.

• Manage security exceptions and coordinate remediation with engineering and platform teams.

• Ensure security controls support compliance while maintaining platform usability and engineering productivity.

• Bachelor's degree in Computer Science.

• Strong analytical, risk-assessment, and security architecture skills.

• Experience implementing security controls across enterprise cloud, data, and AI environments.

• Discretionary annual incentive and performance bonus.

• Medical, dental, vision, disability, and pet insurance options.

• Maternal and parental leave.

• Auto, home, and identity theft protection plans.

• Commuter benefits.

• Certification and training reimbursement.

• Vacation, sick leave, holidays, and other time off.

• 401(k), legal assistance, college fund, and student loan refinancing options.