We are building a founding engineering team in Vietnam to modernize a large-scale legacy enterprise platform. This is a greenfield architecture role, not a maintenance or administration position.

The Senior Data Engineer will be responsible for understanding, decomposing, and re-architecting a complex monolithic database into modern, domain-driven microservices. You will work hands-on with architects, developers, and the client to make sure no business logic is lost during the transformation.

This is not a DBA role. We need someone who can think, design, and build - not just administer and monitor.

Phase 1: System Analysis & Decomposition (Current Priority)

• Deep-dive into the existing monolithic database to understand table relationships, stored procedure logic, data flows, and external integrations.

• Map business domains from the existing schema (identify bounded contexts).

• Document dependencies between tables, procedures, and external data sources.

• Identify data ownership boundaries and shared data patterns.

• Produce a decomposition blueprint that the team can act on.

Phase 2: Architecture Design & Business Validation (~60% of time at this stage)

• Collaborate with the Solution Architect to design the target microservices data model.

• Work with developers to validate that all business logic captured in stored procedures is preserved in the new architecture.

• Design data contracts and API boundaries between services.

• Define data migration strategies for each bounded context.

• Prototype and validate schema designs with real data.

Phase 3: Migration Execution (Future)

• Work with DevOps, Architecture, and Tech Lead to execute incremental migration

• Implement migration frameworks/scripts (SQL, Python, or AI-assisted tools)

• Support parallel-run strategies (old + new systems running simultaneously)

• Ensure data integrity and consistency during migration windows

Phase 4: Monitoring, Performance & Reliability (Future)

• Set up monitoring and alerting for the new data architecture.

• Performance tuning and query optimization in the new system.

• Ensure high availability, disaster recovery, and data governance.