Pereira, Colombia | Posted on 10/01/2026WHY JOIN USIf 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 ROLEWe 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.#J-18808-Ljbffr

📌 Senior Data Platform Engineer Id92207 (Pereira)
🏢 AgileEngine
📍 Pereira