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