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Data Protection Privacy Jobs in Philadelphia, PA

Fivetran

Commercial Counsel

Philadelphia, PA · Hybrid

Advise on contractual issues related to data protection, privacy, security, IP, liability, and compliance ina SaaS environment * Provide practical, business-focused legal guidance to help close deals ...

Top Stack

Data Entry Specialist

Mount Laurel Township, NJ · On-site

$20 - $23/hr

Handle private, personal, or financial application data with high integrity; follow all data protection and privacy rules. * Verification & Auditing : Review applications for missing pieces, typos ...

Boeing

Senior Manager - Privacy Enablement

Ridley Park, PA · On-site

$161K - $250K/yr

Bachelor's degree or higher * 3+ years of experience in leadership privacy roles - integrating privacy and AI regulations into business operations * 3+ years of experience conducting Data Protection ...

Boeing

Senior Manager - Privacy Enablement

Ridley Park, PA · On-site

$161K - $250K/yr

Bachelor's degree or higher * 3+ years of experience in leadership privacy roles - integrating privacy and AI regulations into business operations * 3+ years of experience conducting Data Protection ...

Fivetran

Commercial Counsel

Philadelphia, PA · On-site

$175K - $210K/yr

Advise on contractual issues related to data protection, privacy, security, IP, liability, and compliance ina SaaS environment * Provide practical, business-focused legal guidance to help close deals ...

Td

Counsel - U.S. Privacy and Cybersecurity

Wilmington, DE · On-site

$140K - $231K/yr

Knowledge of privacy and data protection risks associated with AI systems and use cases * In-house experience at an AI, technology, fintech, or financial services company * Experience reviewing and ...

New

PKR

Director of InfoSec & Data Privacy

Exton, PA · On-site +1

$175K - $190K/yr

This hands-on leader will protect information assets, strengthen customer trust, support regulatory ... Own and evolve the data privacy and governance program * Maintain compliance with ISO 27001, SOC 2, ...

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All JobsData Protection Privacy JobsData Protection Privacy Jobs in Philadelphia, PA

Data Protection Privacy information

See Philadelphia, PA salary details

$10

$47

$70

How much do data protection privacy jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data protection privacy in Philadelphia, PA is $47.69, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $57.26 per hour, depending on experience, location, and employer.

What is data protection privacy?

Data protection privacy refers to the policies, procedures, and technologies designed to safeguard personal data from unauthorized access, misuse, or disclosure. It involves complying with relevant laws and regulations, such as GDPR, to ensure that individuals' personal information is collected, processed, stored, and disposed of securely. Data protection privacy professionals help organizations manage data responsibly and protect the rights of individuals whose data they handle.

What are the key skills and qualifications needed to thrive in a data protection privacy role?

To thrive in a Data Protection Privacy role, you need a solid understanding of data protection laws (like GDPR), risk assessment, and compliance, often supported by a degree in law, IT, or a related field. Familiarity with privacy management tools, data mapping software, and certifications such as CIPP/E or CIPM is typically required. Strong attention to detail, ethical judgment, and effective communication skills help professionals navigate complex regulations and foster trust. These skills are essential to ensure organizational compliance, minimize data breach risks, and protect customer and company information.

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

Professionals in Data Protection Privacy roles often encounter challenges such as keeping up with rapidly evolving data privacy regulations, ensuring compliance across multiple jurisdictions, and managing data subject requests efficiently. They must also address internal resistance to new privacy practices and educate employees about the importance of data protection. Collaboration with IT, legal, and business teams is essential to implement robust privacy policies and respond to potential data breaches effectively.

What is the difference between Data Protection Privacy vs Data Privacy Officer?

AspectData Protection PrivacyData Privacy Officer
CertificationsGDPR, CIPP, CIPMGDPR, CIPP, CIPM
Work EnvironmentLegal, compliance, IT teamsLegal, compliance, data management teams
Industry UsageOrganizations handling sensitive dataOrganizations ensuring data privacy compliance

Data Protection Privacy focuses on implementing policies and practices to safeguard personal data, ensuring compliance with privacy laws. A Data Privacy Officer oversees and manages data privacy strategies, ensuring organizational adherence to regulations. While both roles require similar certifications and work in compliance environments, Data Protection Privacy is more about technical and procedural implementation, whereas Data Privacy Officers lead and coordinate privacy initiatives across the organization.

What are popular job titles related to Data Protection Privacy jobs in Philadelphia, PA?

For Data Protection Privacy jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Protection Privacy jobs in Philadelphia, PA look for?

The top searched job categories for Data Protection Privacy jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Data Protection Privacy jobs?

Cities near Philadelphia, PA with the most Data Protection Privacy job openings:

Data Protection Privacy jobs near you
Infographic showing various Data Protection Privacy job openings in Philadelphia, PA as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,205 per year, or $47.7 per hour.

Lead Security Architect - Cloud Data & AI Platforms

Carpenter Technology Corporation

Philadelphia, PA • On-site

$66 - $87.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago

Carpenter Technology rating

6.8

Company rating: 6.8 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

Job description

Carpenter Technology is seeking an experienced Security Architect to lead the security strategy and implementation for our next-generation cloud data & AI platforms. This full-time leadership role holds long-term responsibility for securing a unified analytics environment (built primarily on Microsoft Azure and related services) that will host highly sensitive and regulated data (including ITAR-controlled information). The role requires a visionary leader who can define multi-year security roadmaps and promote a security-first culture, as well as a hands-on expert capable of designing and deploying robust security controls. Operating with influence across both the enterprise cybersecurity team and the data/AI platform team, the Lead Architect will ensure security is embedded by design without stifling innovation, enabling Carpenter to deliver data-driven and AI solutions safely and in compliance with all requirements.
Key Responsibilities of Position:
  • Cloud Data & AI Platform Security Architecture: Own the security architecture and roadmap for Carpenter's cloud-based data analytics and AI platform. Develop and maintain secure design patterns that cover data ingestion, storage, processing, and AI model deployment, ensuring controls are built-in across all components. Apply Zero Trust principles in every layer (identity, network, data access, applications) to minimize risk and attack surface. Work with leadership to align security investments with business strategy and risk appetite.
  • Identity & Access Management (IAM): Implement robust identity and access controls across the platform. Leverage enterprise identity services (e.g. Azure AD) to enforce single sign-on, multi-factor authentication, and conditional access policies. Define role-based access control (RBAC) models for data and analytics services, ensuring users and service accounts have least-privilege access. Establish governance for workspace permissions, data access roles, and secrets management (e.g., keys, credentials) using appropriate tools.
  • Data Protection & Privacy: Safeguard data in transit and at rest through encryption and strong key management. Ensure all sensitive data (including ITAR-regulated content) is encrypted end-to-end with appropriate customer-managed keys and meets required cryptographic standards. Implement data masking, anonymization, and tokenization techniques where needed. Coordinate with data governance teams to define data classification and handling rules, and enforce them through technical controls.
  • Network & Infrastructure Security: Design the network security architecture for the data platform in collaboration with infrastructure teams. Implement secure network segmentation and firewall policies that limit exposure and lateral movement (e.g., using private endpoints, VPC/VNet isolation). Ensure any hybrid connectivity or data pipelines connecting on-premises systems to the cloud are protected via encrypted channels and strict firewall rules. Continually evaluate and harden underlying cloud infrastructure components, aligning with best practices and reference frameworks (NIST, CIS benchmarks, etc.).
  • Governance, Risk & Compliance: Ensure the platform complies with internal policies and external regulations. Implement governance controls to meet standards such as ITAR, CMMC/NIST 800-171, and SOC/ISO 27001 as applicable. Define and monitor adherence to infrastructure and data security baselines across dev, test, and production environments. Work closely with risk management to assess and mitigate any platform-related risks that could impact operational continuity, data privacy, or regulatory compliance. Document security controls and provide evidence for audits and assessments as needed.
  • Data Governance & Monitoring: Integrate data governance tools (e.g., data catalog, lineage, DLP systems) with the platform to enable sensitivity labeling, data lineage tracking, and policy enforcement for data usage. Establish continuous monitoring and auditing of user activities, data access events, and configuration changes in the platform. Aggregate logs and telemetry into the corporate SIEM for advanced threat detection and maintain detailed audit trails for forensics and compliance verification.
  • AI Security & Trust: Develop security and trust frameworks for AI services and agents running on the platform. Ensure AI/ML solutions respect data access controls and do not expose sensitive information. Define Responsible AI policies and implement guardrails around AI model usage (e.g., ensuring proper training data governance, limitations on autonomous actions, and bias/ethics reviews). Collaborate with data science teams to integrate security in the AI model lifecycle, from development to deployment (e.g., secure model endpoints, API protections).
  • Incident Preparedness & Response: Institute robust incident detection and response processes for the data & AI platform. Work with the Cybersecurity Operations Center (SOC) to tailor alerting for this environment and ensure runbooks cover cloud/data-specific incident scenarios. Lead or support incident handling for any security events on the platform, including triage, containment, root-cause analysis, and recovery. Use insights from incidents and near-misses to strengthen the platform's security posture (continuous improvement).
  • Strategic Leadership & Collaboration: Serve as the bridge between cybersecurity and data/AI teams, effectively reporting into both and aligning their objectives. Champion a culture of security-by-design and infrastructure-as-code, advising engineers and data professionals on integrating security into their workflows (automation of controls, DevSecOps practices). Provide thought leadership by tracking emerging threats and cloud capabilities, and proactively adjusting strategies to address them. Influence peers and executives through clear communication of security risks, wins, and needs, building consensus for key security initiatives.

Education and/or Training:
  • Education & Certifications: Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience). Master's degree or MBA a plus. Professional certifications such as CISSP, CISM, CCSP, or relevant cloud security certifications (e.g., Azure Security Engineer, AWS Security) strongly preferred, demonstrating a commitment to ongoing professional development.

Relevant Work Experience:
  • Extensive Security & Architecture Experience: 10+ years of combined experience in information security and/or cloud architecture, including 5+ years of leadership in securing cloud data platforms or enterprise analytics solutions. Track record of successfully delivering security for large-scale data or AI platforms in a modern cloud environment.

Other Qualifications/Skills:
  • Cloud Platforms & Tools: Strong expertise in cloud security technologies and best practices. Hands-on experience with public cloud services (e.g., Azure, AWS, or GCP), with deep knowledge of securing cloud data services (data lakes, warehouses, streaming, etc.). Familiarity with modern analytics platforms (for instance, Azure Synapse, Microsoft Fabric, Databricks, or similar) and their security models is highly desirable.
  • Technical Proficiency: Demonstrated skills in key security domains:
    - Identity & Access Management: roles, SSO/MFA, identity governance.
    - Network Security: VPC/VNet design, firewalls, VPN/ExpressRoute, zero-trust network access.
    - Cryptography: data encryption strategies, key management systems (KMS), PKI.
    - Data Protection & DLP: implementing classification, DLP tools/policies, data masking.
    - Monitoring & DevSecOps: cloud logging/telemetry, SIEM integration, incident management, and automating security controls via code (e.g., Terraform, Azure Policy, CI/CD security checks).
  • Regulated Data & Compliance: Experience securing sensitive and regulated data in a cloud environment. Knowledge of regulatory frameworks (such as ITAR, HIPAA, GDPR, or similar) and experience implementing controls to comply with them. Capable of translating regulatory and risk requirements into actionable technical solutions (e.g., enforcing geo-restrictions, user screening, encryption, and auditing to meet compliance).

This Lead Security Architect role is a unique opportunity to shape the security of a flagship data & AI initiative from the ground up. The successful candidate will combine strategic foresight with hands-on expertise to ensure Carpenter's data-driven future is built on a foundation of security, resilience, and trust.
Carpenter Technology Company offers a competitive salary and a comprehensive benefits package including life, medical, dental, vision, flexible spending accounts, disability coverage, 401k with company contributions as well as many other options to employees.
Carpenter Technology Corporation's policy is to fully and effectively maintain a program of equal employment opportunity and nondiscrimination for all employees, to employ affirmative action for all protected classes, and to recruit and develop the best qualified persons available regardless of age, race, color, religion, sex, gender identity, sexual orientation, marital status, national origin, political affiliation or any other characteristic protected by law. The Company also will recruit, develop and provide opportunities for qualified persons with disabilities and protected veterans.

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