Lead Data Engineer (FPE — Data Engineering) 

Full-time | Manila, Philippines 

Department	Engineering — Functional Process Excellence (FPE)
Reports To	CTO / GM
Team	Leads 2 Data Engineers and partners closely with a Data Analyst

 

About the Role 

We're looking for a Data Engineer to own our company's single source of truth for data. This isn't a back-office infrastructure role — it's the foundation that makes every team's decisions better, from Sales and Finance to the product teams building our newest tools. 

You'll be responsible for the full data platform: getting data in cleanly from every system we use, structuring it into one trusted warehouse, and making sure that no matter where someone looks across the company, the numbers always match. You'll also help make that data easy enough to use that our teams (and our AI tools) can self-serve most of their own analysis, with you and your team focused on keeping the foundation rock solid. 

 

What You'll Own 

• Data pipelines: build and run reliable, automated pipelines that bring data in from every system we use — our in-house portals, HubSpot, QuickBooks, Jira, and more — into one central warehouse. 

• One source of truth: maintain a single, trusted customer and business record so that every team and every system shows the same numbers, every time. 

• Data quality: catch and fix data issues before anyone downstream notices them. You own the monitoring, not the complaints. 

• Proactive delivery: work directly with teams across the company to understand what data they need, and have it ready — clean, structured, and refreshed in near real-time — before they have to ask. 

• Safe change management: review any change to how a system structures its data before it ships, so changes never quietly break the warehouse or any report built on it. 

• Self-serve enablement: structure and document data well enough that our teams, and our AI tools, can query it directly and get the right answer without needing a custom report built for them. 

• Team leadership: manage and grow 2 data engineers. Support a dedicated data analyst with the access and platform tools they need to deliver deepe