Senior Data Engineer: Snowflake, FinOps & Cost Modeling

N-iX LTD; Buenos Aires; Presencial; ARS 185.448.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship

Tech Talks

Remote/Office flexibility

USD-based pay

Descripción de la vacante

N-Ix in Buenos Aires, Argentina, seeks a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own data ingestion, dbt modeling, and data quality across RAW, CURATED, and CONSUMPTION layers, while ensuring observability and robust incident handling.

You will coordinate with Cloud/DevOps, Analytics, Security, Governance and business stakeholders, mentor engineers, and participate in an on-call rotation as part of

Formación

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience with Snowflake design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL skills and strong dbt experience for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating Fivetran or HVR and supporting custom data-ingestion pipelines.
• Hands-on experience with AWS data services, especially S3 and event/file-based ingestion patterns.
• Experience with Argo Workflows on Kubernetes or similar workflow orchestration.
• Proficiency in Python or similar for data engineering, automation, and tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and data quality.
• Observability, logging, alerting, incident-management for production data platforms.
• Ability to lead incident resolution, perform root-cause analysis, and implement preventive actions.
• Ability to make well-reasoned technical decisions and guide platform improvements.
• Experience mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, and business stakeholders.
• Strong written and verbal English communication; able to work with client stakeholders.
• Availability to work 9:00 AM to 6:00 PM Pacific Time and participate in on-call rotation.

Responsabilidades

• Provide senior technical ownership for the Data Platform during LatAm coverage window, including operations and escalation.
• Operate and improve Snowflake production and non-production environments, configure warehouses, monitor performance, manage lifecycle.
• Administer data access with least-privilege controls and audit-ready practices.
• Operate and improve ingestion across Fivetran, HVR, and custom pipelines with scheduling and failure recovery.
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, CONSUMPTION with testing and CI/CD.
• Support AWS S3 data-lake operations, lifecycle controls, access patterns, and integration with Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes-hosted data workloads.
• Define and improve data quality and observability standards (freshness, nulls, schema drift).
• Expand monitoring and lineage using SYNQ, dbt, Snowflake audit data, Splunk, and alerts.
• Lead or support major data incidents, root-cause analysis, post-incident reviews, and preventive actions.
• Support Tableau Cloud operations where needed by upstream data connectivity and credentials.
• Identify and deliver standardization, automation, reliability, performance, and cost improvements.
• Execute work through incident, request, access, change, and release processes.
• Create runbooks, procedures, architecture context, ownership and recovery materials.
• Mentor mid-level engineers and ensure effective handoffs across the distributed service team.
• Participate in Data Platform on-call rotation for critical incidents outside staffed hours.

Conocimientos

Snowflake

dbt

SQL

Python

AWS (S3)

Argo Workflows

Kubernetes

Data modeling

Data quality

Mentoring

Herramientas

Fivetran

HVR

Tableau Cloud

Snowflake cost optimization

Terraform

Descripción del empleo

N-Ix in Buenos Aires, Argentina, seeks a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own data ingestion, dbt modeling, and data quality across RAW, CURATED, and CONSUMPTION layers, while ensuring observability and robust incident handling.

You will coordinate with Cloud/DevOps, Analytics, Security, Governance and business stakeholders, mentor engineers, and participate in an on-call rotation as part of