Senior Snowflake Data Platform Engineer — Remote

Accenture Argentina; Buenos Aires; A distancia; ARS 185.448.000 - 278.173.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD pay

Exciting projects

Flextime

Descripción de la vacante

AgileEngine in Córdoba, Argentina is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform within a regulated healthcare environment. You will lead data ingestion, develop dbt models, and ensure data quality and observability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, hands-on Snowflake and dbt experience, AWS data services, Argo Workflows, and strong Python skills.

Formación

• 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 experience with dbt for transformations and lineage.
• Experience with managed ingestion tools like Fivetran or HVR and custom pipelines.
• Hands-on AWS data services experience, especially S3 and event/file ingestion patterns.
• Experience orchestrating data workloads with Argo Workflows on Kubernetes.
• Proficiency in Python for data engineering and automation.
• Strong understanding of data modeling, dependencies, schema evolution, and data quality.
• Experience with observability, logging, alerting, and incident management for data platforms.
• Demonstrated leadership in incident resolution and preventive improvements.
• Ability to make technical tradeoffs and guide platform improvements.
• Mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, and stakeholders.
• Strong written and verbal English skills and client interaction readiness.
• Willingness 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, handling operations, troubleshooting, and L2/L3 escalation.
• Operate and improve Snowflake production and non-production environments, including configuration and performance monitoring.
• Administer data access with least-privilege controls and audit readiness.
• Manage data ingestion across Fivetran, HVR, and custom pipelines; handle scheduling, onboarding, schema changes, and failure recovery.
• 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, including lifecycle, access, and downstream Snowflake coordination.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes-hosted data workloads.
• Define data quality and observability standards with freshness, row counts, nulls, and schema drift checks.
• Lead or participate in major data incidents and post-incident reviews with preventive actions.
• Support Tableau Cloud operations where upstream data access or refresh failures occur.
• Identify opportunities for standardization, automation, reliability, performance, and cost improvements.
• Execute work through incident, request, access, change, and release processes.
• Create runbooks, procedures, and knowledge-transfer materials.
• Mentor mid-level engineers and ensure effective handoffs across the distributed team.
• Participate in Data Platform on-call rotation for critical incidents.

Conocimientos

Snowflake

Advanced SQL

dbt

Fivetran

HVR

AWS (S3)

Argo Workflows

Python

Data modeling

Observability

Incident management

Leadership

English communication

Herramientas

Kubernetes

Descripción del empleo

AgileEngine in Córdoba, Argentina is seeking a Senior Data Engineer to operate and improve a Snowflake-based data platform within a regulated healthcare environment. You will lead data ingestion, develop dbt models, and ensure data quality and observability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, hands-on Snowflake and dbt experience, AWS data services, Argo Workflows, and strong Python skills.