Lead Data Platform & Governance Engineer

Lawnstarter; Ciudad de Mendoza; Remote; ARS 215,424,000 - 307,749,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine seeks a Senior Data Engineer to own and enhance a Snowflake-based data platform in a regulated healthcare environment. You will run day-to-day operations, optimize warehouses, manage access controls, and shepherd ingestion pipelines from Fivetran/HVR and custom sources through dbt across RAW, CURATED, and CONSUMPTION zones.

You will work with Argo Workflows on Kubernetes, contribute to data quality and observability, and lead incident reviews while coordinating with Cloud/DevOps.

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 skills 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.

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.

Skills

5+ years experience

Snowflake

Advanced SQL

dbt

Fivetran/HVR

AWS S3

Argo Workflows

Python

Data modeling

Observability

English communication

Incident management

Tools

Snowflake

dbt

Fivetran

HVR

Argo Workflows

Job description

AgileEngine seeks a Senior Data Engineer to own and enhance a Snowflake-based data platform in a regulated healthcare environment. You will run day-to-day operations, optimize warehouses, manage access controls, and shepherd ingestion pipelines from Fivetran/HVR and custom sources through dbt across RAW, CURATED, and CONSUMPTION zones.

You will work with Argo Workflows on Kubernetes, contribute to data quality and observability, and lead incident reviews while coordinating with Cloud/DevOps.