Senior Data Platform Engineer (Reliability & Governance) Singapore
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Summary
Build and run momcozy's overseas data platform from 0 to 1, primarily on Databricks/lakehouse technology, turning quality, security, and governance needs into automated controls for data quality, lineage, metadata, and access auditing. Includes on-call support and cross-time-zone collaboration with China HQ.
About the Role
We are looking for a Senior Data Platform Engineer to build reliable, governable, and auditable data platform capabilities. This role exists to ensure our overseas data platform — built from 0 to 1. You will translate quality, security, and governance requirements into automated controls, and design mechanisms to verify data integrity without accessing raw data content due to compliance isolation. You will own platform components end to end and work with distributed teams to ensure our data platform is trustworthy, compliant, and operationally excellent.
Who You'll Work With Reports to: Regional Tech Lead or Head of Big Data & Algorithm (China HQ) Collaborates with: Data engineering teams across regions, security, compliance, product, and engineering teams Team context: Works closely with data platform and data engineering teams; cross-time-zone collaboration with China HQ
Responsibilities Design, build, and operate scalable data platform capabilities, primarily on Databricks or comparable lakehouse platforms Own the end-to-end lifecycle of platform capabilities, from requirements and design through implementation, testing, deployment, and operations Build reusable platform components, automation, testing, and technical documentation Focus on data quality, metadata, lineage, access auditing, observability, data publishing, and automated governance controls Partner with distributed data, product, and engineering teams to translate business needs into actionable technical solutions Participate in on-call support, incident response, and root-cause analysis Continuously improve platform reliability, security, performance, cost efficiency, and developer experience
Requirements Must-Have Bachelor's degree or above in Computer Science, Software Engineering, or a related field, or equivalent industry experience 5+ years of experience in data platform, data infrastructure, or backend engineering, or equivalent practical expertise Strong proficiency in Python / Java, SQL, and distributed data processing, with production experience using Spark or a comparable engine Experience with cloud data platforms, lakehouse architecture, orchestration, CI/CD, and production observability Ability to independently design, build, test, deploy, and troubleshoot platform components in production Legally authorized to work in Singapore; this role does not provide visa sponsorship Nice-to-Have Experience with Databricks, Unity Catalog, or a comparable governance platform Experience with data quality, metadata, lineage, policy enforcement, or observability tooling Experience with cross-region data platforms, security compliance, or privacy engineering Mandarin communication skills
Language Professional working proficiency in English (CEFR B2 or above) Mandarin Chinese is highly advantageous for collaboration with China HQ, but not required
What We Offer Opportunity to build governance and reliability foundations for a global data platform Hands-on engineering with modern data governance technologies Meaningful impact on data compliance and trustworthiness Competitive compensation and benefits package Flexible working policy
We are looking for a Senior Data Platform Engineer to build reliable, governable, and auditable data platform capabilities. This role exists to ensure our overseas data platform — built from 0 to 1. You will translate quality, security, and governance requirements into automated controls, and design mechanisms to verify data integrity without accessing raw data content due to compliance isolation. You will own platform components end to end and work with distributed teams to ensure our data platform is trustworthy, compliant, and operationally excellent.
Who You'll Work With Reports to: Regional Tech Lead or Head of Big Data & Algorithm (China HQ) Collaborates with: Data engineering teams across regions, security, compliance, product, and engineering teams Team context: Works closely with data platform and data engineering teams; cross-time-zone collaboration with China HQ
Responsibilities Design, build, and operate scalable data platform capabilities, primarily on Databricks or comparable lakehouse platforms Own the end-to-end lifecycle of platform capabilities, from requirements and design through implementation, testing, deployment, and operations Build reusable platform components, automation, testing, and technical documentation Focus on data quality, metadata, lineage, access auditing, observability, data publishing, and automated governance controls Partner with distributed data, product, and engineering teams to translate business needs into actionable technical solutions Participate in on-call support, incident response, and root-cause analysis Continuously improve platform reliability, security, performance, cost efficiency, and developer experience
Requirements Must-Have Bachelor's degree or above in Computer Science, Software Engineering, or a related field, or equivalent industry experience 5+ years of experience in data platform, data infrastructure, or backend engineering, or equivalent practical expertise Strong proficiency in Python / Java, SQL, and distributed data processing, with production experience using Spark or a comparable engine Experience with cloud data platforms, lakehouse architecture, orchestration, CI/CD, and production observability Ability to independently design, build, test, deploy, and troubleshoot platform components in production Legally authorized to work in Singapore; this role does not provide visa sponsorship Nice-to-Have Experience with Databricks, Unity Catalog, or a comparable governance platform Experience with data quality, metadata, lineage, policy enforcement, or observability tooling Experience with cross-region data platforms, security compliance, or privacy engineering Mandarin communication skills
Language Professional working proficiency in English (CEFR B2 or above) Mandarin Chinese is highly advantageous for collaboration with China HQ, but not required
What We Offer Opportunity to build governance and reliability foundations for a global data platform Hands-on engineering with modern data governance technologies Meaningful impact on data compliance and trustworthiness Competitive compensation and benefits package Flexible working policy