Data Engineering Manager

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 concept****Own 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
• Define data-quality standards and monitoring for billing data, and lead incident response and root-cause analysis when billing issues occur
• Make and document architecture decisions that balance scalability, performance, cost and maintainability on our AWS-based data platform (Amazon Redshift, PostgreSQL)
• Work with revenue operation team to define event contracts and schemas, so that upstream changes do not break billing