Data Engineer (Compliance)
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Requirements
• Strong communication and coordination skills; can collaborate with both technical and non-technical teams. Preferred: Experience working in AI, SaaS, or Tech environments with fast-moving data and product teams. Exposure to data compliance topics such as data retention, data access controls, consent trails. • 3 - 5 years of work experience in data operations, compliance operations, privacy operations, risk, audit, or related fields. Has strong SQL capabilities (able to easily run scripts, verify output results, and handle large datasets). Familiar with global privacy frameworks such as GDPR, CCPA , and Singapore PDPA. Experience in internal or external audits, compliance assessments, or risk reviews. • Must have experience supporting regional data compliance management across collection, storage, processing, usage, analysis, and sharing. Ability to translate privacy and regulatory requirements into actionable operational controls is required. Provide compliance evaluation and data support to business teams (e.g., product, ops, customer success, sales). Partner with stakeholders to identify gaps, optimize processes, and improve data governance readiness across the region.
Responsibilities
• Perform data inspection, classification, and profiling on regional datasets to assess sensitivity and compliance requirements. • Design and implement data desensitization, masking, anonymization, and pseudonymization pipelines prior to ingestion and exposure. • Build and maintain clean, compliant, and well-documented datasets for downstream analytics and reporting. • Support user-level and aggregated (fine-to-coarse) data analysis in compliance with regional data regulations. • Collaborate with data governance, security, and legal/compliance teams to translate regulatory requirements into technical controls and data workflows. • Enforce compliance-by-design principles: no desensitization → no ingestion; no inspection → no exposure. • Contribute to continuous improvement of data quality, data lineage, metadata management, and auditability. • Participate in platform construction and administration under strict controls (e.g., RBAC, MFA, IP allowlists, separation of duties). • Skills, qualifications and experience we look for • 3–5 years of experience as a Data Engineer or in a closely related role. • Strong hands-on experience with data pipelines, ETL/ELT, and data warehousing (e.g., Spark, SQL, Airflow, Kafka, Hive, or equivalent). • Solid understanding of data cleaning, validation, and quality assurance techniques. • Practical experience handling sensitive or regulated data (PII, user-level data, financial, or operational data). • Working knowledge of data compliance concepts and regional regulations, such as SOC2, HIPPA, PDPA, GDPR, EO14117, or similar frameworks. • Proficiency in SQL and at least one programming language (Python preferred). • Experience with data masking, anonymization, or privacy-preserving analytics. • Familiarity with data governance frameworks, metadata management, and audit logging. • Experience operating in multi-region or cross-border data environments. • Exposure to cloud-based data platforms (AWS, GCP, Azure) and security best practices. • Prior collaboration with legal, compliance, or security teams.
Benefits
• Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think. • Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. • Define the next-gen paradigm for human-AI interaction. • Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. • Work with passionate teammates who value innovation, collaboration, and customer success. • Grow your career in a culture that champions continuous learning and fast career development. • Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere. • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success. • Meaningful Ownership • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity. • High-Impact Environment • Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems to maximize engineering and execution efficiency. • Cutting-Edge AI Tools for Productivity • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires. • Best-in-Class Equipment • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity. • Team & Culture • Medical & Insurance Coverage Comprehensive benefits to protect our employees' financial security, physical health, and longterm growth. Medical insurance and WICA coverage for all full-time employees. • Medical & Insurance Coverage