Job Description: 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. Who you’re committed to being: - 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. What you’ll do: - 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. Experience you’ll bring: - 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. 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. - This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. Why you’ll love working here: - We work in a blended environment that supports collaboration, flexibility, and connection across teams. - We are mission-driven, shaping the future of tech upskillling and delivering impact that matters. - We foster a culture of inclusion and belonging, where everyone can contribute and thrive. - We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose. - Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more. About us: Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical Requirements: This role is primarily performed in an office or home office setting and involves standard computer-based work. EEOC & Accommodations Statement: Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report. Pay Transparency: The annual US base salary range for this role is $114,000 - $150,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Recruiting Scam Notice: Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page. #LI-DB1 #LI-Remote

• Lead the migration of data from an on-premises application (SQL Server) to a new AWS SaaS architecture (PostgreSQL RDS), ensuring data consistency and integrity. • Design and implement reusable data ingestion processes for new clients, handling different source schemas and standardizing transformation and loading.

• Atuar no levantamento e diagnóstico de processos existentes no Databricks que utilizam estruturas legadas baseadas em Hive Metastore. • Realizar o mapeamento completo de tabelas utilizadas e não utilizadas, identificando impactos técnicos e oportunidades de melhoria. • Definir, em conjunto com o time de Engenharia de Dados, estratégias de migração, reorganização ou descontinuação de ativos de dados. • Desenvolver novos processos de ingestão e transformação de dados para camadas modernas de arquitetura, como bronze, silver e gold. • Adequar pipelines existentes para consumo das novas tabelas e estruturas governadas. • Executar processos de limpeza e exclusão definitiva de tabelas obsoletas ou sem uso. • Garantir boas práticas de versionamento, automação de deploy e integração contínua. • Participar de cerimônias ágeis e colaborar com squads multidisciplinares em metodologia Scrum. • Contribuir para evolução da governança, qualidade e padronização do ambiente analítico.

Role Description As our Data Architect you will own the end‑to‑end design and delivery of this platform—architecting, coding, shipping, and scaling it in production in coordination with our Data Scientists. This is a hands‑on leadership role: we are looking for builders, not slide‑makers. Architecture & Design - Shape the overall data & GenAI architecture (batch / streaming pipelines, vector stores, feature stores, LLM‑Ops tooling, API layer). - Select frameworks, storage engines, orchestration tools, and security patterns that will stand the test of scale and time. Hands‑on Engineering - Write production‑grade code. - Build ingestion pipelines, retrieval‑augmented‑generation (RAG) services, micro‑services, and CI/CD workflows. - Conduct code reviews, performance tuning, and zero‑downtime releases. - Run and monitor large‑scale AI workloads in the cloud (Azure / AWS). Delivery Leadership - Lead multi‑component projects. - Break down epics, estimate effort, and remove blockers for the squad. - Report progress and trade‑offs directly to senior business & tech stakeholders. Mentoring & Culture - Coach engineers on best practices in data engineering, DevOps, and LLM‑Ops. - Foster a “get‑stuff‑done” culture—passion, autonomy, accountability. Qualifications - 8+ years building data platforms or large‑scale distributed systems, with at least 3 years in cloud‑native AI / ML workloads. - Strong experience in Python. - Proven delivery of GenAI / LLM products in production: RAG pipelines, vector databases (Pinecone, Milvus, FAISS, etc.), LangChain/LlamaIndex/LangChain or equivalent, prompt orchestration, fine‑tuning, and model monitoring. - Mastery of modern data tooling: SQL & NoSQL stores, Docker, Terraform, GitHub Actions/Azure DevOps. - Strong grasp of data governance, security, and privacy for regulated industries (insurance / financial services a plus). - Design and implement systems for managing agent long- and short-term memory, including structured logging of interactions and collection of user feedback, to support continuous learning and performance improvement using technologies such as Azure Redis or PostgreSQL. - Develop and enforce app and user-level authorization and authentication mechanisms for agent APIs to ensure secure data access and prevent unauthorized exposure across business units. - Track record of sticky retention—you build, iterate, and scale products over several years. - Experience with AI Agents Observability & Performance Monitoring: reporting on key performance metrics to maintain reliability and optimize outcomes. - Excellent communication skills; able to translate architectural trade‑offs to both engineers and executives. - Experience with Model Context Protocol (MCP) workflows, standardization of AI-driven tool calling and workflows.