Senior Data Engineer (Data Platform)

About the role

Senior Data Engineer（Data Platform）

About Mico Mico's mission is to empower every brand by building lifetime trust through humanlike technology. By 2030, we aim to be Asia's No.1 Brand Empowerment Company. Mico builds the conversational layer Japanese brands use to reach their customers — LINE, SMS/RCS, Voice AI and web — for more than 5,500 companies across finance, insurance, retail and real estate. Our four core values guide everything we do: Wow the Customer Invest in Passion Beyond Borders Be the Change

About the Role The Data Platform team was newly established in May 2026. Our mission is not a one-off cleanup of the data models in mmc-mono-repo — the codebase behind Mico Engage AI — but building a capability to govern them continuously. As a Senior Data Engineer, you will own — from investigation through implementation and production rollout — the analysis of entity design and access patterns across TiDB and Aurora, the build-out of our governance toolset (seven items: local reproduction environments, external-expert collaboration, data lineage, test reliability, benchmarks, the classification table, and ADRs), and the concrete work that takes load off TiDB: production deletion under a retention policy, event-attribute transformation, and offloading heavy aggregation to Snowflake with reverse-ETL back into Aurora.

Beyond that lies a succession of core entities such as customer and segment. This is not a greenfield analytics platform role. It is the work of safely reshaping the data model of a large system that is already running, on the basis of evidence.

What We Expect

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Take full ownership of the entities and tooling items in your scope — from investigation through architecture, implementation, production rollout, and steady-state operations.

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Base optimization decisions on measurement and lineage rather than experience and intuition, and write down the reasoning.

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Align directly with the business side (CE / CS) and product, and land changes with real business impact — such as deletions and segment-definition migrations — safely.

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Validate governance tooling on real cases, compounding it so that the next project is faster and safer.

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Build out lineage diagrams, runbooks, and ADRs so that new members can get productive on their own.

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Note how success is measured here: not "how many features shipped" but "how much the toolset's minimum-viable level rose." Phase-one output may look small — we are looking for someone willing to take that on with us.

Requirements

Education

Bachelor's degree or above in computer science, information engineering, or another related quantitative or information field (equivalent practical experience is accepted in place of a degree)

Experience

5+ years of professional experience in backend or data engineering, with expertise in the following: