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Data Privacy Jobs in Spring, TX (NOW HIRING)

Hp

Principal Data Privacy Architect

Spring, TX · On-site

Principal Data Privacy Architect Description - Job Summary - Role Purpose * This role will design and implement scalable, AI-ready data privacy architecture across enterprise data environments ...

Hp

Customer Data Privacy Product Owner

Spring, TX · On-site

$116K - $182K/yr

Customer Data Privacy Product Owner Description - Job Summary This role is responsible for defining, planning, and executing the product strategy, collaborating with various teams to deliver software ...

Royal & Ross

Data Steward

Houston, TX · On-site

Participate in the development of data polices including data retention, data privacy, data use and regulations * Provide guidance, testing support and validation as data assets, dashboards and ...

Royal & Ross

Data Steward

Houston, TX · On-site

Participate in the development of data polices including data retention, data privacy, data use and regulations * Provide guidance, testing support and validation as data assets, dashboards and ...

BridgePoint Works

Data Entry Clerk

Houston, TX · Remote

$20 - $29/hr

Familiarity with data privacy and security best practices. What's In It for You? * Competitive pay $20-$29 per hour. * 100% remote Work from anywhere in the USA. * Stable and structured work Support ...

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All JobsData Privacy JobsData Privacy Jobs in Spring, TX

Data Privacy information

What is the difference between Data Privacy vs Data Security?

AspectData PrivacyData Security
FocusProtecting personal and sensitive information from misuse and ensuring compliance with privacy lawsSafeguarding data from unauthorized access, breaches, and cyber threats
CredentialsPrivacy certifications (e.g., CIPP, CIPM), knowledge of privacy lawsSecurity certifications (e.g., CISSP, CISM), technical security skills
Work EnvironmentLegal, compliance, and policy-driven roles within organizationsIT, cybersecurity teams, technical environments

Data Privacy focuses on protecting personal information and ensuring compliance with privacy regulations, while Data Security emphasizes technical measures to prevent unauthorized data access. Both roles are essential for comprehensive data protection but differ in their primary objectives and skill sets.

What is data privacy?

Data privacy refers to the protection of personal or sensitive information from unauthorized access, use, or disclosure. It involves implementing policies, procedures, and technologies to ensure that individuals’ data is collected, stored, and processed in compliance with relevant laws and regulations. Data privacy professionals help organizations mitigate risks, maintain customer trust, and avoid legal penalties by ensuring proper handling of data. This field is especially important in industries that handle large volumes of personal information, such as healthcare, finance, and technology.

What are some common challenges faced by professionals working in data privacy roles?

Professionals in data privacy roles often encounter challenges such as keeping up with rapidly changing regulations, ensuring organization-wide compliance, and balancing data protection with business needs. They frequently collaborate with IT, legal, and business teams to develop and implement privacy policies, manage data subject requests, and respond to potential data breaches. Staying informed about new technologies and emerging threats is also essential, making continuous learning a key part of the role.

What Are Data Privacy Jobs?

Data privacy jobs focus on helping a company manage and protect information. This has two primary focuses: company information and customer information. In these roles, you may study industry sources to evaluate potential risks, help ensure compliance with applicable laws and regulations, and determine the best response to any violation of these rules. Data privacy jobs often involve using encryption to manage and store sensitive information, determining when or if to share information with others, and creating company policies to help ensure employees do not inadvertently violate privacy protection laws. Some industries—most notably healthcare—have additional data privacy requirements that you may be responsible for enforcing.

What are the key skills and qualifications needed to thrive as a Data Privacy professional, and why are they important?

To thrive as a Data Privacy professional, you need strong knowledge of data protection laws (like GDPR and CCPA), risk assessment, and compliance best practices, often supported by a relevant degree or certifications such as CIPP or CIPM. Familiarity with privacy management tools, data classification systems, and legal research databases is typically required. Attention to detail, ethical judgment, and effective communication are key soft skills for managing sensitive information and educating stakeholders. These skills ensure organizations remain compliant, protect customer trust, and mitigate the risks of data breaches.
More about Data Privacy jobs
What are popular job titles related to Data Privacy jobs in Spring, TX? For Data Privacy jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Data Privacy jobs in Spring, TX look for? The top searched job categories for Data Privacy jobs in Spring, TX are:
What cities near Spring, TX are hiring for Data Privacy jobs? Cities near Spring, TX with the most Data Privacy job openings:
Data Privacy jobs near you
Infographic showing various Data Privacy job openings in Spring, TX as of July 2026, with employment types broken down into 82% Full Time, 10% Part Time, 3% Temporary, and 5% Contract. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.
Principal Data Privacy Architect

Principal Data Privacy Architect

HP Development Company, L.P.

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 5 days ago

Job description

Principal Data Privacy Architect
Description -
Job Summary
- Role Purpose
  • 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, cross-border transfer requirements, and regional data residency obligations.
  • Define auditable controls for consent enforcement, access monitoring, retention, deletion, lineage, and compliance evidence collection.

- Build for the Future
  • 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.

- Work as One Team
  • 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.

Strategic & Technical Focus Areas
  • AI-Ready Privacy Architecture: Privacy controls for AI agents, generative AI, RAG pipelines, model inputs and outputs, embeddings, vector stores, and automated data workflows.
  • Consent & Purpose-Based Usage: Consent propagation, purpose limitation, consent revocation, customer preference enforcement, and downstream data usage controls.
  • Data Loss Prevention & Sensitive Data Protection: DLP integration, sensitive data classification, risky sharing detection, exfiltration prevention, and AI prompt/output inspection.
  • Data Sovereignty & Compliance Engineering: Regional data residency, cross-border transfer controls, localization requirements, encryption key residency, and audit evidence automation.
  • Reusable Privacy Frameworks: Standardized architecture patterns for encryption, masking, tokenization, anonymization, retention, deletion, access control, and monitoring.

Education & Experience & Skills
- Education & Experience
  • 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.

- Technical Expertise
  • 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.

- Leadership & Business Skills
  • 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.

- Preferred Qualifications
  • 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.

- Cross-Org Skills
  • Effective Communication
  • Results Orientation
  • Learning Agility
  • Digital Fluency
  • Customer Centricity

Salary
The pay range for this role is 154,400.00 - 227,750.00 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
* Health insurance
* Dental insurance
* Vision insurance
* Long term/short term disability insurance
* Employee assistance program
* Flexible spending account
* Life insurance
* Generous time off policies, including;
* 4-12 weeks fully paid parental leave based on tenure
* 11 paid holidays
* Additional flexible paid vacation and sick leave (US benefits overview
[https://hpbenefits.ce.alight.com/])
The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
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"

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