Data Engineer (Data Platform) - Singapore

PLAUD AI INC.

Job Overview

Location

Singapore

Job Type

Full-time

Full Job Description

📋 Description

• Design, build, and maintain scalable data warehouses and pipelines to support Plaud’s AI-driven productivity platform used by over 2 million users worldwide.
• Collaborate closely with product, operations, data analysts, and algorithm engineering teams to translate business requirements into robust data solutions.
• Implement and enforce data governance practices including metadata management, data security protocols, cost optimization strategies, and data lineage tracking.
• Platformize and productize data development tools for scheduling, monitoring, data quality checks (DQC), SLA enforcement, and data synchronization across systems.
• Optimize performance of ETL/ELT workflows using Hadoop ecosystem components (HDFS, MapReduce, Yarn, Hive) and at least one distributed computing engine (Spark or Flink).
• Apply deep expertise in data modeling techniques to ensure accurate, reusable, and efficient data structures aligned with business intelligence needs.
• Leverage data platform tools to automate and standardize data development workflows, improving team efficiency and reducing manual intervention.
• Ensure compliance with global data privacy and security standards including ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 in all data infrastructure decisions.
• Contribute to the evolution of Plaud’s intelligence infrastructure by capturing, extracting, and utilizing structured and unstructured data from user interactions across devices.
• Participate in global cross-functional teams, using English as the primary communication language to align on data strategy and execution.
• Utilize cutting-edge AI tools such as Cursor, GPT models, Gemini, and Claude to enhance data engineering efficiency and automate repetitive tasks.
• Maintain and improve data platform reliability, scalability, and observability to support Plaud’s $250M annual revenue run rate and rapid global expansion.
• Advocate for best practices in data engineering, including version control, testing, documentation, and continuous integration for data pipelines.
• Work with top-spec hardware including high-performance workstations and Plaud-branded devices to maximize productivity and system performance.
• Engage in annual company offsites and team-building events within a culture that emphasizes craftsmanship, ownership, and velocity.

🎯 Requirements

• At least 3 years of experience in data warehouse development
• Deep understanding of data warehouse theory, including data modeling, ETL/ELT design, and data governance
• Proficient in the Hadoop ecosystem (HDFS, MapReduce, Yarn, Hive) and at least one distributed computing engine (Spark or Flink) with performance tuning experience
• Bachelor's degree or above in Computer Science, Software Engineering, Mathematics, or related fields
• Skilled in using data platform tools for scheduling, metadata, lineage, data synchronization, DQC, and SLA management
• Proficient in English communication for global collaboration

🏖️ Benefits

• Meaningful Ownership through an Employee Stock Ownership Plan (ESOP)
• Access to best-in-class AI productivity tools (Cursor, GPT models, Gemini, Claude)
• Choice of top-spec laptops, high-performance workstations, and Plaud devices
• Comprehensive medical insurance and WICA coverage for full-time employees
• Annual company offsites and team events
• High-impact environment where ideas directly shape the future of AI productivity

Skills & Technologies

AWS

Azure

GCP

Apache Spark

Onsite

Degree Required

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PLAUD AI INC.

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About PLAUD AI INC.

PLAUD AI INC. builds AI-powered voice and note-taking hardware. Its flagship Plaud Note records phone calls and meetings, transcribes them in real time, and generates summaries using GPT-4o. The credit-card-sized device attaches to iPhone or Android, stores encrypted audio locally or in the cloud, and integrates with Notion, Slack, and Google Docs. Founded in 2023 and based in San Francisco, the company sells direct to consumers and enterprises through plaud.ai, offering subscription plans for advanced AI features and multi-language support.

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