Senior Snowflake Data Platform Engineer - Pipelines

AgileEngine, LLC.; Ciudad de Mendoza; Presencial; ARS 136.430.000 - 197.065.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation (USD-based)

A selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer in Mendoza to own and evolve a Snowflake-based data platform within a regulated healthcare environment. You will lead L2/L3 support, optimize warehouses, and implement robust data pipelines end-to-end.

You will collaborate with Cloud/DevOps, Data Analytics, Security, and stakeholders; drive data quality and observability, incident post-mortems, and mentor engineers while participating in on-call rotations.

Formación

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Hands-on Snowflake design, warehouses, access patterns, and production troubleshooting.
• Advanced SQL and dbt for transformation, testing, lineage, and controlled deployment.
• Experience with Fivetran or HVR and custom ingestion pipelines.
• Hands-on AWS data services, especially S3 and event/file ingestion patterns.
• Experience with Argo Workflows on Kubernetes and related scheduling/troubleshooting.
• Python for data engineering and automation.
• Strong data modeling, dependencies, schema evolution, and data quality.
• Observability, logging, alerting, and incident-management for production data platforms.
• Proven incident resolution and root-cause analysis.
• Ability to guide platform improvements and technical decisions.
• Mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, stakeholders.
• Strong written and verbal English; client-facing.
• Full availability to work 9:00 AM–6:00 PM PT and participate in on-call rotation.

Responsabilidades

• Provide senior technical ownership for the Data Platform during LatAm coverage window.
• Operate and improve Snowflake production and non-production environments.
• Administer data access with least-privilege and audit-ready practices.
• Manage data ingestion via Fivetran/HVR and custom pipelines.
• Design, build and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION.
• Support AWS S3 data-lake operations with lifecycle and logging.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes workloads.
• Define data quality and observability standards.
• Expand end-to-end monitoring and lineage with tools like SYNQ, dbt, Snowflake audit data, Splunk.
• Lead or support major data incidents and post-incident reviews.
• Support Tableau Cloud operations when needed.
• Deliver standardization, automation, reliability, and cost improvements.
• Run incident/change/release processes with service-management workflows.
• Create runbooks, procedures, and knowledge-transfer materials.
• Mentor middle-level engineers and ensure effective handoffs.
• Participate in Data Platform on-call rotation.

Conocimientos

Snowflake

SQL

dbt

Fivetran

HVR

Python

Data modeling

Observability

Incident management

English communication

Herramientas

Argo Workflows on Kubernetes

Kubernetes

Terraform

CI/CD pipelines

Freshservice

Jira

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer in Mendoza to own and evolve a Snowflake-based data platform within a regulated healthcare environment. You will lead L2/L3 support, optimize warehouses, and implement robust data pipelines end-to-end.

You will collaborate with Cloud/DevOps, Data Analytics, Security, and stakeholders; drive data quality and observability, incident post-mortems, and mentor engineers while participating in on-call rotations.