Senior Data Platform Architect & Engineer

Yalo; Córdoba; Hybride; ARS 3 000 000 - 5 000 000; Plein temps

Avantages offerts par ce poste

Unlimited PTO

Remote/Hybrid work

Competitive rewards

Résumé du poste

Yalo seeks Sr. Staff Data Engineer to own the data platform powering analytics, dashboards, and AI agents. This is a senior technical ownership role — not a management track.

You will 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

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, or a related field — or equivalent hands‑on experience.
• 8+ years in Data Engineering or Analytics Engineering, including staff/principal level ownership (architecture decisions, cross‑team standards) rather than as a people manager.

Responsabilités

• 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.
• 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 that routes all access through governed data.
• Define stage ownership and interfaces — the explicit boundary between Data Engineering and Business Analytics so teams can move independently.
• Drive cost governance across BigQuery, dbt, Kafka, and Airflow — targeting 20%+ infrastructure cost efficiency improvement.
• Lead technical incident response when pipelines break or produce incorrect data, especially where client‑facing dashboards or agent outputs are affected.
• Set technical standards and mentor engineers across teams who touch the data layer through code review and architecture decisions.
• Partner cross‑functionally with Engineering, the analytics PM, Business Analytics, and ML/AI team to keep the full pipeline running end to end.

Connaissances

Data engineering

Data architecture

Cloud data stacks

SQL

Python

LookML / semantic layer

Formation

Bachelor's or Master's in Computer Science or related field

Outils

Airflow

dbt

BigQuery

Kafka

Terraform

LookML

Description du poste

Yalo seeks Sr. Staff Data Engineer to own the data platform powering analytics, dashboards, and AI agents. This is a senior technical ownership role — not a management track.

You will 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