Data Engineer (Compliance) - Singapore
Summary
Build and maintain compliant data pipelines for AI note-taking tools, focusing on desensitization, anonymization, and regional data regulations like GDPR and PDPA.
- 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.
- 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).
- 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.
- 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.