Senior Snowflake Data Platform Engineer | Remote

Curvion Blue; Ciudad de Mendoza; Hybrid; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and enhance a Snowflake-based enterprise data platform in a regulated healthcare environment. You will lead data ingestion, modeling, and quality initiatives across RAW, CURATED, and CONSUMPTION layers, with strong emphasis on observability and incident management.

You will work with Snowflake, dbt, Fivetran/HVR, AWS S3, and Argo on Kubernetes, collaborating with Cloud/DevOps and business stakeholders.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience with Snowflake, including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL and experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience with managed ingestion tools such as Fivetran or HVR and supporting custom data-ingestion pipelines.
• Hands-on experience with AWS data services, particularly S3 and event-driven ingestion patterns.
• Experience orchestrating data workloads with Argo Workflows on Kubernetes, or similar tools.
• Proficiency in Python for data engineering, automation, and tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and data quality.
• Experience with observability, logging, alerting, and incident-management for production data platforms.
• Ability to lead complex incident resolution, perform root-cause analysis, and implement preventive improvements.
• Strong communication in English with client stakeholders; willingness to work 9:00-18:00 PT and participate in on-call rotations.

Responsibilities

• Provide senior technical ownership for the Data Platform service tower during LatAm coverage window.
• Operate and improve Snowflake production and non-production environments including sizing and performance.
• Administer data access with least-privilege controls and audit-ready practices.
• Operate and improve data ingestion across Fivetran, HVR, and custom pipelines.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers with testing and CI/CD.
• Support AWS S3 data-lake operations and coordination with downstream Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes-hosted data workloads.
• Define and improve data quality and observability standards across the platform.
• Lead or support major data incidents with root-cause analysis and post-incident reviews.
• Mentor engineers and ensure effective handoffs across distributed teams.

Skills

Advanced SQL

Python

Data modeling

Observability

Incident management

English communication

Tools

Snowflake

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

Tableau Cloud

Job description

AgileEngine is seeking a Senior Data Engineer to operate and enhance a Snowflake-based enterprise data platform in a regulated healthcare environment. You will lead data ingestion, modeling, and quality initiatives across RAW, CURATED, and CONSUMPTION layers, with strong emphasis on observability and incident management.

You will work with Snowflake, dbt, Fivetran/HVR, AWS S3, and Argo on Kubernetes, collaborating with Cloud/DevOps and business stakeholders.