Who We're Looking For - The Team Lead & Architect

Chargeflow is at the forefront of fintech + AI innovation. Our mission is to build a fraud-free global commerce ecosystem by leveraging the newest technology—freeing online businesses to focus on their core ideas and growth.

We’re looking for an experienced Data Engineering / Data Infrastructure Team Lead to guide a high-performing team in designing, scaling, and operating the robust, cost-efficient infrastructure powering our platform. This role balances hands-on architectural leadership with people leadership, and will be a key driver of reliability, performance, security, and cost efficiency across our data systems.

The impact you’ll have

• Build and evolve the data infrastructure that safeguards our clients’ revenue and powers critical product, ML, and analytics use cases.
• Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency).
• Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety.

What you’ll own (Your arena)

• Leadership & MentorshipLead, mentor, and scale a team of talented data and infrastructure engineers.
• Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans.
• Data Infrastructure & FinOpsOwn the architecture and evolution of our modern data stack and platform services.
• Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning.
• High-Performance EngineeringOversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
• Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse).
• Operational ExcellenceChampion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems.
• Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems).
• Partner on security compliance and data governance across the R&D organization.
• Strategic CollaborationAct as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives.
• Translate business goals into platform roadmaps, milestones, and measurable outcomes.