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About the Role

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.

Responsibilities

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.
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.
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, cross-border transfer requirements, and regional data residency obligations.
Define auditable controls for consent enforcement, access monitoring, retention, deletion, lineage, and compliance evidence collection.
Establish privacy architecture patterns across data warehouses, lakehouses, metadata platforms, customer data platforms, AI/ML environments, vector databases, and cloud platforms.
Integrate sensitive data discovery, classification, lineage, DLP, DSPM, IAM, KMS, and monitoring capabilities into the enterprise data ecosystem.
Advance automated compliance monitoring, privacy control validation, and risk detection across the data lifecycle.
Collaborate with Data Engineering, Product, AI Governance, Cybersecurity, Legal, Privacy, and Enterprise Architecture teams to embed privacy controls into delivery workflows.
Provide hands-on architecture guidance for high-risk data initiatives, AI programs, customer data products, and platform modernization efforts.
Mentor engineers, architects, data scientists, and product teams on privacy engineering best practices.

Requirements

Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, Cybersecurity, Data Engineering, or related field.
10+ years of progressive experience in data privacy, data protection, cybersecurity, data architecture, or enterprise data platforms.
Proven experience architecting privacy and data protection solutions in large, complex, global environments.
Hands-on experience implementing privacy-by-design, consent management, data sovereignty, DLP, and sensitive data protection controls.
Strong understanding of global privacy regulations and frameworks, including GDPR, CCPA/CPRA, LGPD, PIPL, India DPDP Act, NIST, ISO 27001, and related privacy/security standards.
Experience with cloud platforms such as AWS, Azure, or GCP, and enterprise data platforms including data warehouses, lakehouses, data catalogs, metadata platforms, and big data environments.
Working knowledge of privacy and data protection technologies such as BigID, OneTrust, Securiti, Collibra, Informatica, Microsoft Purview, AWS Macie, Google Cloud DLP, Azure Information Protection, DLP, DSPM, CASB, IAM, and KMS capabilities.
Strong technical skills in Python, Java, SQL, APIs, Spark, data pipelines, infrastructure-as-code, and policy-as-code.
Experience with AI/ML, generative AI, AI agents, RAG architectures, vector databases, feature stores, model governance, or AI-enabled data products.
Ability to translate legal, privacy, compliance, and business requirements into scalable technical architecture.
Strong communication and influencing skills with engineers, architects, legal teams, privacy teams, product leaders, and senior executives.
Demonstrated ability to balance customer trust, regulatory compliance, engineering practicality, and business agility.
Certifications such as CIPP/E, CIPP/US, CIPM, CIPT, CISSP, CCSP, CDPSE, or equivalent.
Experience building consent management platforms, privacy preference centers, data subject rights automation, or customer data governance capabilities.
Experience implementing purpose-based access control, attribute-based access control, zero-trust data architecture, or data-centric security models.
Active industry participation, publications, or memberships related to privacy engineering, AI governance, cybersecurity, or customer trust.
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Skills

AI-Ready Privacy Architecture
Consent & Purpose-Based Usage
Data Loss Prevention & Sensitive Data Protection
Data Sovereignty & Compliance Engineering
Reusable Privacy Frameworks
Python
Java
SQL
APIs
Spark
Data pipelines
Infrastructure-as-code
Policy-as-code
AI/ML
Generative AI
AI agents
RAG architectures
Vector databases
Feature stores
Model governance
AI-enabled data products
Cloud platforms (AWS, Azure, GCP)
Enterprise data platforms
Data warehouses
Lakehouses
Data catalogs
Metadata platforms
Big data environments
Privacy and data protection technologies (BigID, OneTrust, Securiti, Collibra, Informatica, Microsoft Purview, AWS Macie, Google Cloud DLP, Azure Information Protection, DLP, DSPM, CASB, IAM, KMS)

Work Type

Full time

Experience Level

10+ years of progressive experience in data privacy, data protection, cybersecurity, data architecture, or enterprise data platforms.

Education Level

Bachelor’s or master’s degree in Computer Science, Engineering, Information Systems, Cybersecurity, Data Engineering, or related field.

Salary/Compensations

154,400.00 - 227,750.00 USD annually

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

About the Company

You want to reshape the way the world works. So do we.
You’re looking for more than just a job; you’re looking to make a difference.
That means creating something new.
Something that matters.
Something that changes how the world works for the better.
A career at HP can help you build the tomorrow you want.
Let’s grow together.
Our founders believed that business exists when people work together to ‘accomplish something collectively which they could not accomplish separately.’
We uphold a zero-tolerance policy towards discrimination and treat everyone with respect.
By maintaining these principles, we empower the HP team to contribute to our collective success and the future of work.
Learn more about HP personal data practices at Privacy Statement, Personal Data Rights Notice (where applicable), Accessibility at HP, and Terms.
You can be yourself at HP.

Equal Opportunity

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested.
This information is provided voluntarily.
The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"