Senior Data Platform Engineer ID92207

AgileEngine, LLC.; Perímetro Urbano Manizales; In loco; COP 388.387.000 - 582.581.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Descrizione del lavoro

AgileEngine, LLC. is seeking a Senior Data Engineer in Manizales, Colombia to own and evolve a Snowflake-based data platform within a regulated healthcare context.

You will lead day-to-day operations, optimize warehouses, manage data ingestion, and drive robust data pipelines across RAW, CURATED, and CONSUMPTION layers. You’ll implement data quality, observability, and incident-management practices, mentor engineers, and coordinate with Cloud/DevOps, Analytics, and Security teams.

Competenze

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands-on experience operating and developing on Snowflake, including warehouse performance 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 pipelines.
• Hands-on experience with AWS data services, particularly S3 and event/file-based ingestion patterns.
• Experience with Argo Workflows on Kubernetes and similar orchestration tools.
• Proficiency in Python or similar for data engineering and automation.
• 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 and implement preventive actions.
• Strong written and verbal English communication; able to work with client stakeholders.
• Availability to work 9:00 AM–6:00 PM PT and participate in on-call rotation.

Mansioni

• Provide senior technical ownership for the Data Platform service tower during LatAm coverage window.
• Operate and improve Snowflake production and non-production environments and perform capacity planning.
• Administer data access with least-privilege and audit-ready controls.
• Manage data ingestion pipelines (Fivetran, HVR, custom) including onboarding and schema changes.
• Design, build, and maintain pipelines and dbt models across RAW, CURATED, CONSUMPTION layers with CI/CD.
• Support AWS S3 data-lake operations, including lifecycle and access controls.
• Coordinate with Cloud/DevOps teams for Argo Workflows and Kubernetes workloads.
• Define and improve data quality and observability standards and checks.
• Expand monitoring and lineage using tools like SYNQ, dbt, Snowflake audits, Splunk.
• Lead major data incidents and perform post-incident reviews with preventive actions.
• Support Tableau Cloud operations where data connectivity issues arise.
• Deliver standardization, automation, reliability, and cost improvements; migrate legacy patterns to golden paths.
• Follow incident, request, access, change, and release workflows; create runbooks and docs.
• Mentor engineers and ensure effective handoffs across the distributed team.
• Participate in Data Platform on-call rotation for critical incidents.

Conoscenze

Snowflake

SQL

dbt

Fivetran

HVR

AWS S3

Argo Workflows

Kubernetes

Python

Data Modeling

Data Quality

Monitoring/Observability

Incident Management

English Communication

Strumenti

Snowflake

dbt

Fivetran

HVR

AWS

Argo

Kubernetes

Tableau

Descrizione del lavoro

Manizales, Colombia | Posted on 10/01/2026

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment.

WHAT YOU WILL DO

• 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.

MUST HAVES

• 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.
• 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 with client stakeholders.
• Full availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on‑call rotation.

NICE TO HAVES

• Hands‑on experience with a data‑specific observability platform.
• Experience supporting Tableau Cloud administration, data‑source connectivity, extracts, scheduled refreshes, or production dashboard dependencies.
• Familiarity with Snowflake cost optimization, audit logging, tasks, stored procedures, and environment rationalization.
• Experience migrating legacy ingestion or orchestration patterns such as Boomi or AWS Data Pipeline to modern managed or Kubernetes‑based solutions.
• Experience with Terraform, CI/CD pipelines, and Infrastructure as Code practices supporting data platforms.
• Experience with service‑management and change‑control tools such as Freshservice and Jira.
• Familiarity with HIPAA, GDPR, FDA‑related controls, least‑privilege access, separation of duties, and audit‑ready operational practices.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.