Senior Data Platform Engineer (Snowflake, IaC & CI/CD)

Avenga; Buenos Aires; Remote; ARS 216,357,000 - 293,627,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Flexibility with remote/office

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 requires 5+ years in data engineering, advanced SQL, dbt, Fivetran/HVR, AWS data services, and Argo Workflows on Kubernetes.

You will own data ingestion, modeling, quality, and observability, with on-call responsibilities and English communication. We value strong leadership, incident resolution skills, and collaboration with

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, warehouse performance, access patterns, and production troubleshooting
• Advanced SQL and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment
• Experience operating 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 or file-based ingestion patterns
• Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow-orchestration technologies
• Proficiency in Python or a comparable language for data engineering, automation, and operational tooling
• 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
• Demonstrated ability to lead complex incident resolution, perform root-cause analysis, and convert findings into preventive improvements
• Ability to make well-reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform
• Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders
• Strong written and verbal English communication skills, with the ability to work directly on client stakeholders
• Availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on-call rotation

Responsibilities

• Provide senior technical ownership for the Data Platform service tower during the LatAm coverage window, including day-to-day operations, complex troubleshooting, and L2/L3 escalation
• Operate and improve Snowflake production and non-production environments, including warehouse configuration and sizing, performance and consumption monitoring, object lifecycle, environment hygiene, and support for production changes
• Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining 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, schema-change coordination, failure recovery, backfills, and dependency management
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control, and CI/CD practices
• Support AWS S3 data-lake operations, including raw and landing-zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads
• Support Argo Workflows and Kubernetes-hosted data workloads in close coordination with the Cloud / DevOps team, including scheduling, troubleshooting, deployment, recovery, and capacity dependencies
• Define and improve data quality and observability standards, including freshness, zero-row, row-count growth, null, duplicate, schema-drift, and referential-integrity checks
• Expand end-to-end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and the agreed alerting stack, linking actionable alerts to evidence and runbooks
• Lead or support major data incidents, root-cause analysis, post-incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies
• Support Tableau Cloud operations where upstream data, connectivity, permissions, extracts, or refresh failures require Data Platform investigation
• Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration of suitable legacy or custom extraction patterns toward agreed golden paths
• Execute work through controlled incident, request, access, change, and release processes using established 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, improve team practices, and ensure effective handoffs across the distributed service team
• Participate in the Data Platform on-call rotation for critical incidents outside staffed service hours

Skills

Snowflake experience

Advanced SQL

dbt

Fivetran/HVR

AWS data services

Argo Workflows

Python

Data modeling

Observability

Incident management

Leadership

English communication

On-call readiness

Tools

Snowflake

dbt

Fivetran

HVR

AWS

Argo Workflows

Kubernetes

Python

Tableau Cloud

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 requires 5+ years in data engineering, advanced SQL, dbt, Fivetran/HVR, AWS data services, and Argo Workflows on Kubernetes.

You will own data ingestion, modeling, quality, and observability, with on-call responsibilities and English communication. We value strong leadership, incident resolution skills, and collaboration with