Preferably candidates based in Córdoba, Argentina. Also open to Guatemala City, São Paulo, and Mexico City. This is a Hybrid role.
Job Summary
We're looking for a Sr. Staff Data Engineer to own the data platform that powers Yalo's analytics, dashboards, and AI agents. This is a senior technical ownership role — not a management track. You'll define the architecture, set the standards, and be the deepest technical authority on how data moves from raw platform events to governed, trusted, agent‑ready information. If you think in systems that need to be reliable at 99.9% uptime, care as much about a clean semantic layer as a fast pipeline, and want your technical judgment — not your headcount — to be your leverage, this one's for you.
Your mission?
Own and evolve the infrastructure that turns Yalo's raw platform events into the trusted data foundation for dashboards, business decisions, and AI agents like IRIS. You'll work daily with Engineering (event generation), Business Analytics (dashboard consumers), and the ML/AI team (agent consumption)
— without owning any of those teams — to keep the whole pipeline reliable, well‑governed, and fast to build on.
What are the responsibilities for this role?
- Own and evolve Yalo's data platform, ensuring 99.9% uptime and clear SLAs across analytics and AI use cases.
- Define a modular, real‑time, agent‑ready data architecture — modeled for both human dashboard consumers and LLM‑based agents like IRIS.
- Own the semantic layer — the single source of truth that keeps metrics consistent across Looker, Power BI, and IRIS. Prevent the dashboard sprawl and definition drift that comes from ungoverned, ad hoc modeling.
- Build and maintain a semantic and annotated data layer that lets both agents and humans reason over Yalo's core business concepts, not just query raw tables.
- Own data governance — the tiered, role‑based access framework (CSM/PM/Ops/Power User) that routes all access through governed data.
- Define stage ownership and
📌 Sr Staff Data Engineer (Córdoba)
🏢 Yalo
📍 Córdoba