Senior Data Platform Engineer: Snowflake & Pipelines | Flextime

AgileEngine, LLC.; Monterrey; On-site; MXN 1,991,000 - 2,715,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks a Senior Data Engineer to operate and improve a Snowflake-based data platform within a regulated healthcare environment. You will own the Data Platform service for the LatAm window, manage production and non-production environments, and lead incident resolution.

You will design and maintain end-to-end data pipelines across RAW, CURATED, and CONSUMPTION layers, with an emphasis on data quality, observability, and CI/CD practices. Strong English communication required.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience with Snowflake and 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 data workloads with Argo Workflows on Kubernetes or comparable tools.
• Proficiency in Python or a similar language for data engineering, automation, and tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, and data quality.
• Experience with observability, logging, alerting, and incident-management for production data platforms.
• Ability to lead complex incident resolution, perform root-cause analysis, and drive preventive actions.

Responsibilities

• Own Data Platform service during LatAm window; day-to-day operations, complex troubleshooting, and L2/L3 escalations.
• Operate and optimize Snowflake production and non-production environments; manage warehouse sizing and performance.
• Administer data access with least-privilege controls and audit-ready practices.
• Oversee data ingestion across Fivetran, HVR, and custom pipelines; manage scheduling and schema changes.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers; ensure testing and lineage.
• Support AWS S3 data-lake operations; manage lifecycle, access patterns, and logging.
• Coordinate with Cloud/DevOps on Argo Workflows and Kubernetes workloads; deploy and recover.
• Improve data quality and observability standards including freshness and schema checks.
• Expand monitoring and lineage using SYNQ, dbt, Snowflake audit data, and Splunk.
• Lead major data incidents; perform root-cause analysis and preventive actions.
• Support Tableau Cloud operations when data issues require investigation.
• Identify automation and standardization opportunities to improve reliability and reduce costs.
• Create runbooks, procedures, architecture context, and knowledge-transfer materials.
• Mentor engineers and ensure effective handoffs across the team.
• Participate in Data Platform on-call rotation.

Skills

Snowflake

SQL

dbt

Python

Argo Workflows

Kubernetes

AWS S3

Data modeling

Data quality

Observability

Incident management

Mentoring

English

Tools

Fivetran

HVR

Job description

AgileEngine, LLC. seeks a Senior Data Engineer to operate and improve a Snowflake-based data platform within a regulated healthcare environment. You will own the Data Platform service for the LatAm window, manage production and non-production environments, and lead incident resolution.

You will design and maintain end-to-end data pipelines across RAW, CURATED, and CONSUMPTION layers, with an emphasis on data quality, observability, and CI/CD practices. Strong English communication required.