Data Security & Controls Architect

Exp. Required: 10+ Year’s

Must Have Technical/Functional Skills

• Security architecture for cloud, data, and AI environments.

•

IAM, Zero Trust, encryption, secrets, secure APIs, logging, auditability, and data-loss controls.

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

• Ability to work with engineering teams without disrupting delivery or platform usability.

Good to Have

Industrial cybersecurity, connected products, sensor data, OT/IT convergence, or secure MLOps.

Policy-as-code, container security, software supply-chain controls, and privacy engineering.

Roles & Responsibilities

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.

• Define RBAC/ABAC, least-privilege, segregation-of-duties, encryption, key management, secure

transfer, and controlled data sharing.

• Translate classification, privacy, export-control, retention, and audit requirements into enforceable

controls.

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

• Create threat models, control mappings, evidence requirements, exception handling, and

remediation plans.

Managerial Skills

Work with engineering teams to embed controls without disrupting delivery or platform usability; own exception handling and remediation plans.