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Plaud Logo Plaud · IT - Software Development

Data Engineer (Compliance)

Singapore, Singapore · Job Posted February 21, 2026
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Job Description

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.

Job Responsibility

  • 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)

Requirements

  • 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)

Nice to have

  • 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

What we offer

  • Meaningful Ownership An Employee Stock Ownership Plan (ESOP) that gives a real stake in Plaud’s long-term success
  • High-Impact Environment Work in a fast-moving, product-driven environment where your ideas directly shape the future of AI productivity
  • 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
  • Best-in-Class Equipment Choice of top-spec laptops, high-performance workstation setups, and cutting-edge Plaud devices for all new hires
  • Team & Culture Annual company offsites, team events, and a culture that values craftsmanship, ownership, and velocity
  • 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
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