Sr. Data Privacy Engineer

Pluralsight

1d•Hybrid

About The Position

As the job of privacy moves beyond law, policy, and compliance and into operations and the actualization of information technology, we are seeking a driven and highly motivated Data Privacy Engineer to join our dynamic Information Security team. This pivotal role is essential for advancing and carrying out our comprehensive information security, data privacy, and regulatory compliance initiatives across the organization. The Senior Privacy Engineer will be instrumental in building and maintaining the infrastructure and processes necessary to sustain a robust, enterprise-wide data privacy program. This is a proactive, technical leadership role responsible for designing, developing, and implementing complex, scalable data privacy solutions, and requires a strong software engineering background and experience in core principles of modern privacy laws including Transparency, Individual Rights, Consent & Opt-Out, and Data Minimization The Sr. Data Privacy Engineer will serve at the primary liaison across all business functions to ensure consistent adherence to regulatory requirements, ensure all data privacy operations and data processing activities adhere to global privacy regulations (e.g., GDPR, CCPA) and company objectives, and be responsible for reviewing, optimizing, and implementing existing technologies, including Atlan, Salesforce, Snowflake, Transcend, and other technologies.

Requirements

8+ years of specialized experience in data privacy engineering, software development, or a related field, with a demonstrated history of developing and resolving complex models and procedures.
Bachelor's degree in Engineering, Technology, or a related field, or equivalent experience.
Expert-level understanding of privacy regulations with security and privacy standards and frameworks including SOC 2, ISO 27001, GDPR, CCPA, NIST, and EU-US Data Privacy Framework).
Proven ability to design and implement end-to-end automation for complex privacy operations (e.g., DSAR, ROPA maintenance, consent management) utilizing tools like Transcend, Snowflake, and related data platforms.
Experience implementing and integrating PrivacyOps platforms (e.g., Transcend, Snowflake, Salesforce, Atlassian, DataGrail, OneTrust,) with databases and data-lakes for the automation of DSARs.
Applicable IAAP Data Privacy Certifications (e.g., CIPT, CDPSE) or ISC2 information Security/Technology certifications.
Ability to apply privacy expertise to Pluralsight products or services to improve Pluralsight's privacy posture and measure impact.
Can identify and drive solutions for privacy issues that have a positive impact on risk reduction or business enablement.
Demonstrate intellectual curiosity and an open-minded approach to problem-solving, fostering an inclusive and feedback-driven culture.
Excellent communication and relationship skills.

Nice To Haves

You enjoy learning and are open to new ways of doing things.
You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns.
When communicating you are self-aware, insightful, and proactive.
You are a team member first and individual contributor second.
You are aware that high-performing teams are only as strong as their weakest link.
You believe in continuous improvement and request frequent feedback from others.

Responsibilities

Lead privacy engineering team providing strategic technical direction for scalable privacy solutions.
Translate legal/regulatory requirements into actionable specifications and efficient workflows, ensuring stability, efficiency, and comprehensive enterprise privacy infrastructure coverage (e.g., automated DSAR fulfillment, successful data deletion audits).
Own formal technical design and architecture reviews (e.g., Threat Modeling, Privacy Impact Assessments/DPIAs) for new platform features and major data processing initiatives, acting as the final engineering gate to ensure 'Privacy by Design' adherence before implementation.
Serve as the organization's subject matter expert (SME) providing expert consultations and guidance in privacy engineering, exercising advanced judgment to select and adapt complex techniques (e.g., synthetic data, advanced anonymization, privacy enhancing technologies) and guide the methods and procedures for new assignments.
Evaluate, recommend, and manage the technical implementation of existing and new PrivacyOps and Privacy Enhancing Technology (PET) tooling, justifying expenditures based on risk reduction, compliance efficiency gains, and ROI.
Establish performance metrics for complex privacy workflows, such as automated Data Subject Access Request (DSAR) fulfillment and data deletion procedures.
Monitor and triage all ongoing Data Subject Rights requests (DSARs) within the platform to ensure compliance with established Service Level Agreements (SLAs).
Responsible for the operational delivery, continuous improvement, and performance metrics of core privacy platforms (e.g., Transcend, Snowflake, Atlan), including driving end-to-end automation, conducting comprehensive data lineage mapping, and ensuring SLA compliance for all privacy workflows.
Serve as a key liaison, networking across Legal, Product, Engineering, and Business teams to communicate complex privacy concepts and influence the adoption of best practices and control frameworks through consistent application of Privacy by Design principles across new products and systems and the effective resolution of interdisciplinary issues.
Drive technical direction, secure cross-functional alignment on data handling policies, and proactively resolve non-conformance issues and identify privacy risks presented by forward looking technical solutions (i.e., Generative AI and Agentic AI) and the implementation of mitigation techniques that positively impact risk reduction and business enablement.
Conduct in-depth analysis of global legal and regulatory changes, emerging technologies, and internal data practices to recommend and drive strategic enhancements to the enterprise data privacy program and PrivacyOps platform to improve compliance efficiency
Guide the implementation of established data privacy principles, and drive the development of new privacy engineering policies, standards, and control frameworks company-wide, creating and maintaining thorough, in-depth documentation for the privacy infrastructure and complex data flows, including architectural diagrams and procedure manuals.
Ownership technical remediation plans resulting from internal/external audits, regulatory findings, or privacy events, coordinating engineering resources to prioritize and complete complex, high-risk technical fixes.
Mentor and coach team members on privacy engineering best practices, advanced techniques, and the use of privacy tools to elevate the overall privacy engineering capability of the organization.