Senior Snowflake Data Platform Engineer | Remote

Svitla Systems, Inc.

Quilmes

Hybrid

ARS 216,357,000 - 293,627,000

Full time

2 days ago
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Benefits offered by this job

Mentorship program
USD-based pay
Flexible schedule with remote and in‑/

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. The role focuses on data modeling, ETL orchestration, and production incident resolution, with leadership responsibilities across data teams.

Applicants should have 5+ years in data engineering, strong Snowflake/dbt skills, AWS experience, and proficiency in Python.

Qualifications

  • 5+ years of professional experience in data engineering or data platform engineering.
  • Strong hands-on experience with Snowflake including data-layer design and production troubleshooting.
  • Advanced SQL skills and strong dbt experience for transformation, testing, and lineage.
  • Experience with Fivetran or HVR and custom data-ingestion pipelines.
  • Hands‑on AWS data services experience, especially S3 and ingestion patterns.
  • Experience with Argo Workflows on Kubernetes and other workflow-automation tools.
  • Proficiency in Python and data engineering tooling.
  • Knowledge of data modeling, schema evolution, backfills, and data quality.
  • Experience with observability, logging, alerting, and incident management.

Responsibilities

  • Provide senior technical ownership for the Data Platform during LatAm coverage.
  • Operate Snowflake production and non-production environments for performance and reliability.
  • Administer data access with least-privilege controls and audit-ready practices.
  • Develop and maintain ingestion pipelines across Fivetran, HVR, and custom code.
  • Design and maintain dbt models across RAW, CURATED, CONSUMPTION layers with CI/CD.
  • Support AWS S3 data-lake operations and downstream Snowflake workloads.
  • Coordinate with Cloud/DevOps for Argo/Kubernetes workloads and deployments.
  • Define data quality and observability standards, including freshness checks.
  • Expand monitoring and lineage using dbt, Snowflake audit data, and Splunk.
  • Lead or support major data incidents and post-incident reviews.

Skills

Advanced SQL
Python
English communication
Data modeling
Incident management
Leadership
Kubernetes

Education

Bachelor's degree in a related field

Tools

Snowflake
dbt
Fivetran
HVR
AWS
Argo Workflows
Kubernetes

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. The role focuses on data modeling, ETL orchestration, and production incident resolution, with leadership responsibilities across data teams.

Applicants should have 5+ years in data engineering, strong Snowflake/dbt skills, AWS experience, and proficiency in Python.

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