Senior Data Platform Engineer: Snowflake & DataOps Lead

Agileengine, Llc.; Quilmes; Hybrid; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to lead a Snowflake‑based data platform in a regulated healthcare environment. You will own day‑to‑day operations, optimize ingestion pipelines (Fivetran/HVR), and drive data quality and observability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong Python and SQL skills, and experience with Argo Workflows on Kubernetes, AWS data services, and data governance.

Qualifications

• 5+ years of professional data engineering or data platform experience.
• Hands-on Snowflake design, warehousing, and production troubleshooting.
• Advanced SQL and dbt for transformation, testing, and lineage.
• Experience with Fivetran or HVR data ingestion and custom pipelines.
• Hands-on with AWS data services (S3) and event/file-based ingestion patterns.
• Orchestrating data workloads with Argo Workflows on Kubernetes.
• Proficiency in Python for data tooling and automation.
• Strong data modeling, dependencies, schema evolution, and data quality.
• Observability, logging, alerting, and incident management for data platforms.
• Ability to lead incident resolution and provide preventive improvements.
• Strong technical decision-making, estimation skills, and cross-team collaboration.
• Mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance.
• Excellent written and verbal English; able to work with client stakeholders.
• Availability to work 9:00 AM–6:00 PM PT with on-call rotation.

Responsibilities

• Own and operate the Data Platform service tower during LatAm window; L2/L3 escalation.
• Maintain Snowflake production and non-production environments, tuning and housekeeping.
• Administer data access with least-privilege controls and audit readiness.
• Manage data ingestion via Fivetran, HVR, and custom pipelines; handle failures and backfills.
• Design and maintain RAW, CURATED, CONSUMPTION dbt models with tests and documentation.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo/Kubernetes data workloads; ensure capacity.
• Define data quality and observability standards; implement freshness, null checks, etc.
• Expand monitoring and lineage using SYNQ, dbt, Snowflake audit data, Splunk.
• Lead or support major data incidents; perform root-cause analysis and post-incident reviews.
• Support Tableau Cloud operations where needed; ensure data connectivity and refresh reliability.
• Drive standardization, automation, reliability, and cost improvements; migrate legacy patterns.
• Follow service-management processes for incidents, changes, and releases.
• Create runbooks, procedures, architecture context, and knowledge-transfer materials.
• Mentor mid-level engineers and ensure effective handoffs across distributed teams.
• Participate in Data Platform on-call rotation outside staffed hours.

Skills

Data Engineering

Snowflake

Advanced SQL

dbt

Python

AWS data services

Argo Workflows

Kubernetes

Data modeling

Observability & incident management

English communication

Education

Bachelor's degree in a technical field

Tools

Snowflake

dbt

Fivetran

HVR

AWS (S3)

Argo Workflows

Kubernetes

Python

Tableau Cloud

Splunk

Job description

AgileEngine is seeking a Senior Data Engineer to lead a Snowflake‑based data platform in a regulated healthcare environment. You will own day‑to‑day operations, optimize ingestion pipelines (Fivetran/HVR), and drive data quality and observability across RAW, CURATED, and CONSUMPTION layers.

The role requires 5+ years in data engineering, strong Python and SQL skills, and experience with Argo Workflows on Kubernetes, AWS data services, and data governance.