Senior Data Platform Engineer - Snowflake & Cloud Ops

Blacksmith Agency Llc; Buenos Aires; Remote; ARS 216,357,000 - 293,627,000; Full time

Benefits offered by this job

USD-based pay

Education budget

Fitness budget

Team activity budget

Remote and office options

Job summary

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise platform in a regulated healthcare environment. You will own data ingestion, modeling, and observability, while mentoring engineers and coordinating with Cloud/DevOps and stakeholders.

Responsibilities include managing Snowflake environments, dbt models, and end-to-end data quality checks, with 9–6 PT availability and on-call rotation. This role offers remote and office options across LatAm.

Qualifications

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Snowflake design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL and dbt for transformation, testing, lineage, and controlled deployment.
• Experience with Fivetran or HVR for data ingestion pipelines.
• Experience with AWS data services, especially S3 and event-driven ingestion.
• Orchestrating data workloads with Argo Workflows on Kubernetes.
• Proficiency in Python for data engineering and automation.
• Strong understanding of data modeling, dependencies, schema evolution, backfills, data quality.
• Experience with observability, logging, alerting, incident-management practices.
• Lead incident resolution, root-cause analysis, preventive actions.
• Mention of decision-making, trade-offs, and estimates in improvement work.
• Mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance, stakeholders.
• Strong written and verbal English communication; able to work with client stakeholders.
• Availability to work 9:00 AM to 6:00 PM PT and participate in on-call rotation.

Responsibilities

• Provide senior technical ownership for the Data Platform during LatAm coverage, including day-to-day operations.
• Operate and improve Snowflake production and non-production environments and monitoring.
• Administer data access with least-privilege and audit-ready practices.
• Manage data ingestion across Fivetran, HVR, and custom pipelines.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION with testing and lineage.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate with Cloud/DevOps for Argo Workflows and Kubernetes-hosted workloads.
• Define data quality and observability standards with freshness, null checks, and schema drift checks.
• Expand end-to-end monitoring and lineage using SYNQ, dbt, Snowflake, Splunk; link alerts to runbooks.
• Lead or support major data incidents and post-incident reviews.
• Support Tableau Cloud operations requiring upstream data platform investigation.
• Deliver standardization, automation, reliability, performance, and cost improvements.
• Execute work through incident, change, and release processes; create runbooks and knowledge transfer.
• Mentor mid-level engineers and ensure effective handoffs across the team.
• Participate in Data Platform on-call rotation outside staffed hours.

Skills

5+ years

Advanced SQL

Python

Data modeling

Observability

Incident management

Mentoring engineers

English communication

On-call readiness

Decision making

Cloud/DevOps collaboration

Tools

Snowflake

dbt

Fivetran

HVR

AWS data services (S3)

Argo Workflows on Kubernetes

Tableau Cloud

SYNQ

Splunk

Job description

AgileEngine is seeking a Senior Data Engineer to operate and improve a Snowflake-based enterprise platform in a regulated healthcare environment. You will own data ingestion, modeling, and observability, while mentoring engineers and coordinating with Cloud/DevOps and stakeholders.

Responsibilities include managing Snowflake environments, dbt models, and end-to-end data quality checks, with 9–6 PT availability and on-call rotation. This role offers remote and office options across LatAm.