Remote Senior Snowflake Data Platform Engineer

Accenture Argentina; Ciudad de Mendoza; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Job summary

AgileEngine seeks a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own day-to-day operations, optimize warehouse performance, and ensure data quality and security.

You will collaborate with Cloud/DevOps, Analytics, Security, Governance, and client stakeholders while maintaining strong English communication and on-call availability.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience operating and developing solutions on Snowflake, including data-layer design and production troubleshooting.
• Advanced SQL skills and experience with dbt for transformations, testing, documentation, lineage, and controlled deployment.
• Experience operating ingestion tools such as Fivetran or HVR and supporting custom pipelines.
• Hands-on experience with AWS data services, particularly S3 and event-driven or file-based ingestion patterns.
• Experience with Argo Workflows on Kubernetes or comparable workflow orchestration.
• Proficiency in Python for data engineering and automation.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.
• Experience with observability, logging, alerting, and incident-management practices for production data platforms.
• Proven ability to lead complex incident resolution, perform root-cause analysis, and implement preventive improvements.
• Ability to make well-reasoned technical decisions, estimate work, and guide improvements across a complex platform.
• Experience mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, and business stakeholders.
• Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
• Availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an on-call rotation.

Responsibilities

• Provide senior technical ownership for the Data Platform service tower during LatAm coverage, including day-to-day operations, complex troubleshooting, and L2/L3 escalation.
• Operate and improve Snowflake production and non-production environments, including warehouse configuration, performance and consumption monitoring, and environment hygiene.
• Administer data access within established controls, including users, roles, secrets, and credential rotation, ensuring least-privilege and audit-ready practices.
• Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, and failure recovery.
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers with testing, documentation, lineage, and CI/CD.
• Support AWS S3 data-lake operations, including raw/landing-zone workflows, lifecycle controls, and coordination with downstream Snowflake workloads.
• Support Argo Workflows and Kubernetes-hosted data workloads with Cloud/DevOps, including scheduling, troubleshooting, deployment, recovery, and capacity planning.
• Define and improve data quality and observability standards including freshness, row counts, nulls, and schema drift checks.
• Expand end-to-end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and alerting stack.
• Lead or support major data incidents, root-cause analysis, post-incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and Tableau dependencies.
• Support Tableau Cloud operations where upstream data, connectivity, permissions, or refresh failures require investigation.
• Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration toward golden paths.
• Execute work through controlled incident, request, access, change, and release processes using service-management workflows.
• Create and maintain runbooks, operating procedures, architecture context, ownership information, recovery procedures, and knowledge-transfer materials.
• Mentor Middle-level engineers, review technical work, and ensure effective handoffs across the distributed service team.
• Participate in the Data Platform on-call rotation for critical incidents outside staffed hours.

Skills

5+ years of data engineering

Snowflake

SQL

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

Python

Data modeling

Observability

Root cause analysis

Technical decision making

Mentoring

English communication

On-call readiness

Tools

Snowflake

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

Python

Job description

AgileEngine seeks a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment. You will own day-to-day operations, optimize warehouse performance, and ensure data quality and security.

You will collaborate with Cloud/DevOps, Analytics, Security, Governance, and client stakeholders while maintaining strong English communication and on-call availability.