Principal Data Privacy Architect Job Spring area,Texas USA,IT/Tech

Lead and oversee complex, cross-functional privacy and data protection programs from strategy through implementation, ensuring alignment across business, technical, legal, and compliance stakeholders.
This role will design and implement scalable, AI-ready data privacy architecture across enterprise data environments, applications, and AI-enabled workflows.
The Principal Data Privacy Architect will serve as a hands‑on subject matter expert responsible for embedding privacy‑by‑design, consent enforcement, data sovereignty, data loss prevention, and compliance controls into large, complex global data environments.
The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI Governance, Product, and Enterprise Architecture teams to ensure customer, employee, partner, and sensitive enterprise data is accessed, processed, shared, retained, and protected in a compliant, secure, and trustworthy manner.
Why This Role Matters
Architect for Trust & Scale:
Build reusable privacy architecture patterns that enable secure, compliant, and scalable data usage across platforms, products, and regions.
Enable Responsible AI:
Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows.
Reduce Risk While Enabling Innovation:
Translate privacy, consent, regulatory, and data sovereignty obligations into practical engineering controls that accelerate business outcomes.

Job Summary

Role Purpose
Lead and oversee complex, cross-functional privacy and data protection programs from strategy through implementation, ensuring alignment across business, technical, legal, and compliance stakeholders.
This role will design and implement scalable, AI-ready data privacy architecture across enterprise data environments, applications, and AI-enabled workflows.
The Principal Data Privacy Architect will serve as a hands‑on subject matter expert responsible for embedding privacy‑by‑design, consent enforcement, data sovereignty, data loss prevention, and compliance controls into large, complex global data environments.
The architect will partner closely with Data Engineering, Cybersecurity, Legal, Privacy, AI Governance, Product, and Enterprise Architecture teams to ensure customer, employee, partner, and sensitive enterprise data is accessed, processed, shared, retained, and protected in a compliant, secure, and trustworthy manner.
Why This Role Matters
Architect for Trust & Scale:
Build reusable privacy architecture patterns that enable secure, compliant, and scalable data usage across platforms, products, and regions.
Enable Responsible AI:
Design privacy guardrails for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows.
Reduce Risk While Enabling Innovation:
Translate privacy, consent, regulatory, and data sovereignty obligations into practical engineering controls that accelerate business outcomes.

Responsibilities

Think Customer First
Embed customer trust, transparency, and privacy‑by‑design principles into enterprise data platforms and customer-facing applications.
Design consent‑aware data access and usage patterns across analytics, personalization, marketing, product telemetry, support, and AI use cases.
Ensure customer data is collected, processed, shared, retained, and deleted according to approved purposes, consent preferences, and regulatory obligations.
Innovate for Growth
Architect reusable privacy engineering components, including APIs, SDKs, reference architectures, automation patterns, and policy‑as‑code controls.
Design privacy controls for AI agents and AI‑enabled workflows that access, process, summarize, or publish sensitive data.
Build technical patterns for data minimization, anonymization, pseudonymization, tokenization, encryption, masking, and secure data sharing.
Act with Integrity
Partner with Legal, Privacy, Cybersecurity, and Compliance teams to translate global privacy regulations and internal policies into enforceable technical controls.
Support compliance with GDPR, CCPA/CPRA, LGPD, PIPL, India DPDP Act, data sovereignty mandates,…