aCommerce
Data Engineering Manager (Billing Development)
- Lokasi
- Bangkok, Thailand
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
About the Role: You will own the design and architecture of aCommerce's billing platform. Your main goal is to turn billable business events into accurate, auditable charges, invoices, and financial records. This is a highly hands-on leadership role where you will lead a team of data engineers while continuing to write code, build prototypes, and set engineering standards.
Responsibilities:
Specifically, this role will be doing:
- Design and own the end-to-end architecture of a scalable, multi-country, multi-currency billing platform, from capturing billable business events through rating, invoicing and posting to the accounting system
- Define the billing data model – clients, contracts, rate cards, billable events, charges, invoices, credit notes and adjustments – with full traceability from every invoice line back to its source events
- Architect the pipelines that extract billable business events from our supply chain, fulfillment, delivery and SaaS applications into the data platform, guaranteeing completeness and integrity
- Build a flexible rating and pricing engine that supports our commercial models: per-order and per-unit fees, storage, tiered and volume pricing, minimum commitments, subscriptions and pass-through costs
- Ensure the billing platform meets accounting requirements in terms of completeness and timeliness, including revenue recognition, accruals, month-end close, tax across Southeast Asian markets and integration with our ERP
- Design reconciliation and controls: automated checks between operational events, billed charges and financial records, complete audit trails, and processes for disputes, adjustments and re-billing
This is a MUST: Stay hands-on, write production code for the most critical and complex components, build prototypes and proofs of conceptOwn the quality of the code your team delivers – lead design and code reviews, and quality-check the pipelines, SQL, Python and data models built by the data engineers
- Establish and enforce engineering practices: version control and branching strategy, CI/CD, automated testing (unit, integration and data-quality tests), infrastructure-as-code, documentation and observability