Senior Data Engineer (Data Warehouse) - Singapore

Plaud
Singapore, SG
On-site

Job Description

About Plaud Inc.

Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

Why You Should Join Us

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.

What You Will Do

  • Design and develop data warehouse systems, including data modeling, ETL process development, and data quality assurance.
  • Collaborate with business teams and data analysts to understand business needs and deliver warehouse solutions.
  • Continuously optimize data processing performance to improve platform stability and efficiency.
  • Research emerging technologies to drive the next-generation upgrade of the data platform.

Minimum Qualifications

  • Bachelor's or Master’s degree in a technical field (Computer Science, Engineering or a related field.
  • At least 3 years of experience in data warehouse development, including big data development, data warehouse modeling;
  • Strong understanding of data warehouse architecture and principles
  • Proficient in at least 2 programming languages (e.g. SQL, Python, Scala, Java, Go)

Preferred Qualifications

  • Experience with big data platforms (Hive, Spark, Airflow, Kafka, Flink, etc.) and relational databases.
  • Experience in backend engineering skills are a plus
  • Familiar with AWS data tools (E.g. Snowflake, and data pipeline technologies)
  • Familiar with data security and compliance
  • Strong communication skills and team spirit, with curiosity and openness to new technologies

Disclaimer

: Plaud is and will continue to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristics.

Skills & Requirements

Technical Skills

Data warehouse developmentBig data developmentData warehouse modelingData modelingEtl process developmentData quality assuranceBig data platformsRelational databasesBackend engineeringAws data toolsData security and complianceLeadershipCommunicationTeamworkProblem-solvingCuriosityInvestigative skillsStorytellingTechnical communicationCollaborationFlexibilityAdaptabilityCustomer successTechnical expertiseCustomer relationship buildingFinanceHealthcareTechnologyData scienceAiBig data analyticsCloud platformsData center infrastructureEnterprise/large-scale infrastructureNetwork securityOperating system securitySecure/authenticated bootIncident response and adversary detectionVulnerability researchProduct managementProduct growthUser behavior analysisProduct bottlenecksGrowth leversUser journeysEngagement mechanicsLoyalty programsGamificationData-informed experiencesDigital ecosystemsUser-facing productsData metricsProduct improvementsData-backed product improvementsA/b testingFeature performance evaluationIdea validationData analysisData modelingData quality assuranceEtl process developmentData security and compliance

Employment Type

FULL TIME

Level

senior

Posted

5/1/2026

Apply Now

You will be redirected to Plaud's application portal.

Sign in and we'll score your resume against this role.