Senior Snowflake Data Platform Engineer - Remote Growth

Chainlink; Buenos Aires; Hybrid; ARS 185,448,000 - 278,173,000; 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 improve a Snowflake-based data platform in a regulated healthcare environment. You will own day-to-day operations and tackle complex troubleshooting.

Strong SQL, dbt, Fivetran/HVR, AWS data services, Argo on Kubernetes, Python; lead incidents, mentor engineers, and collaborate with Cloud/DevOps, Analytics, Security, and stakeholders. This role requires US Pacific Time hours and on-call rotation.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Snowflake expertise including data-layer design and production troubleshooting.
• Advanced SQL and dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience with Fivetran or HVR and ingestion pipelines.
• Hands-on AWS data services usage, especially S3.
• Experience with Argo Workflows on Kubernetes; workflow orchestration.
• Python or similar language for data engineering and automation.
• Strong data modeling, pipeline dependencies, and data quality.
• Observability, logging, alerting, and incident-management in production.
• Lead incidents, root-cause analysis, and preventive actions.
• Technical decision-making and cross-team improvements.
• Mentor engineers and collaborate with Cloud/DevOps, Analytics, Security, etc.
• Strong English communication with client stakeholders.
• Availability to work 9:00 AM–6:00 PM PT and on-call rotation.

Responsibilities

• Provide senior technical ownership for the Data Platform during LatAm coverage window.
• Operate Snowflake production and non-production environments; optimize performance and lifecycle.
• Administer data access with least-privilege controls and audit readiness.
• Manage data ingestion via Fivetran/HVR and custom pipelines.
• Design and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION.
• Support AWS S3 data-lake operations and data workflows.
• Coordinate with Cloud/DevOps for Argo/Kubernetes workloads.
• Define data quality and observability standards and checks.
• Expand monitoring and lineage using tools like SynQ, dbt, and Splunk.
• Lead major data incidents and post-incident reviews.
• Mentor and enable handoffs across the distributed service team.
• Participate in Data Platform on-call rotation.
• Create runbooks and knowledge-transfer materials.

Skills

Snowflake

Advanced SQL

dbt

Fivetran/HVR

AWS (S3)

Argo Workflows

Kubernetes

Python

Data modeling

Observability/Incident mgmt

Incident leadership

Mentoring

English communication

Time-zone coordination (PT)

Tools

Argo Workflows

Kubernetes

Terraform

CI/CD

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform in a regulated healthcare environment. You will own day-to-day operations and tackle complex troubleshooting.

Strong SQL, dbt, Fivetran/HVR, AWS data services, Argo on Kubernetes, Python; lead incidents, mentor engineers, and collaborate with Cloud/DevOps, Analytics, Security, and stakeholders. This role requires US Pacific Time hours and on-call rotation.