Bi Platform Lead (Sql & Power Bi)

Bluelight; Ciudad de Mendoza; Hybrid; ARS 232,187,000 - 294,104,000; Full time

Benefits offered by this job

Professional growth

USD-based compensation Budget

Exciting projects with Fortune 500/Top

Job summary

AgileEngine is seeking a Cloud Platform Technical Lead to own reliability and orchestration of a regulated healthcare data platform. You will lead AWS/Kubernetes/Argo workflows, IaC, and incident management while mentoring engineers across distributed teams.

The role emphasizes platform reliability, cross-functional collaboration, and delivering secure, scalable data solutions with Snowflake and S3 data lakes. Strong English communication and LatAm-friendly hours are required.

Qualifications

• 6+ years of professional experience in Cloud/Platform engineering, DevOps or SRE.
• Hands-on AWS production environments, including security, networking, monitoring and ops.
• Deep Kubernetes and EKS expertise, with workload deployment and reliability focus.
• Hands-on Argo Workflows or similar orchestration for production data workloads.
• Infrastructure as Code experience, preferably Terraform, plus CI/CD and release automation.
• Observability, logging, monitoring, and incident routing for distributed platforms.
• Ability to lead incidents and cross-functional troubleshooting across infra, data, and analytics.
• Experience with data platforms (Snowflake, S3, dbt) and modern data tooling.
• Strong Python/Shell scripting for automation and tooling.
• Excellent stakeholder communication and mentoring across distributed teams.
• Fluent English communication; availability within LatAm service window.

Responsibilities

• Own the reliability and orchestration of the managed data platform on AWS/Kubernetes/Argo.
• Lead transition to managed services with discovery, risk mapping, and readiness validation.
• Define cloud architecture principles, IaC standards, and release practices.
• Provide technical leadership for AWS, Kubernetes, Argo, and deployment automation.
• Translate business needs into actionable technical requirements and backlogs.
• Guide cross-platform decisions on Snowflake, dbt, and data ingestion pipelines.
• Lead complex cross-platform troubleshooting and L3 escalation.
• Direct incident response, including post-incident reviews and preventive actions.
• Ensure changes have proper reviews, validation, rollback planning, and traceability.
• Monitor reliability metrics: availability, data freshness, and recovery times.
• Drive automation, observability, auto-remediation, and cost-efficiency improvements.
• Collaborate with Security, Governance, IT, and stakeholders for secure access.
• Review designs and ensure secure, scalable, supportable solutions.
• Mentor senior engineers and align across LatAm and India coverage windows.

Skills

Cloud leadership

AWS production

Kubernetes / EKS

Argo Workflows

Terraform / IaC

CI/CD automation

Observability

Incident mgmt

Snowflake data

Python scripting

Data pipelines

Stakeholder mgmt

Mentoring engineers

English proficiency

Tools

AWS

Kubernetes

Amazon EKS

Argo Workflows

Terraform

CI/CD

Splunk

Opsgenie

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

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 Cloud Platform Technical Lead to own the reliability and orchestration of an enterprise data platform in a regulated healthcare environment.

Must Haves

• 6+ years of professional experience in Cloud Engineering, Platform Engineering, DevOps or Site Reliability Engineering.
• Deep hands-on expertise with AWS production environments, including cloud architecture, security, networking fundamentals, access management, monitoring, capacity, and operational troubleshooting.
• Advanced experience with Kubernetes and Amazon EKS , including workload deployment, cluster and application troubleshooting, observability, scaling, upgrades, access, and reliability.
• Hands-on experience operating Argo Workflows or a comparable orchestration platform supporting production data workloads.
• Strong experience with Infrastructure as Code , preferably Terraform, and with source-controlled configuration, CI/CD, release automation, and rollback practices.
• Strong experience designing and operating observability, logging, monitoring, alerting, and incident-routing solutions for distributed production platforms.
• Demonstrated ability to lead major incidents and cross-functional troubleshooting across infrastructure, applications, data pipelines, and analytics layers.
• Experience operating production platforms with defined service levels, escalation paths, runbooks, change controls, release processes, and on-call responsibilities.
• Strong working knowledge of modern data platforms, including Snowflake, S3-based data lakes, SQL, dbt, managed ingestion tools such as Fivetran or HVR, and custom data pipelines.
• Understanding of data quality, freshness, lineage, schema evolution, pipeline dependencies, backfills, and recovery procedures.
• Proficiency in Python, Shell, Bash, or comparable languages for automation and operational tooling.
• Ability to make well-reasoned architecture and operational decisions, communicate tradeoffs, estimate work, identify risks, and guide teams through change.
• Proven experience mentoring engineers, reviewing technical work, delegating ownership, and improving engineering processes across a distributed team.
• Strong stakeholder-management and communication skills, including the ability to collect requirements, explain technical risks, and present recommendations to client leaders.
• Strong written and verbal English communication skills.
• Availability to work within the LatAm service window of approximately 9:00 AM to 6:00 PM Eastern Time and participate in an agreed senior escalation and on-call rotation.

Nice to Haves

• Experience with data observability platforms such as SYNQ and operational tooling such as Splunk, PagerDuty, Opsgenie, or comparable solutions.
• Experience implementing dependency-aware alerting, selective auto-remediation, impact analysis, or other advanced reliability practices.
• Experience leading a managed service, platform operations team, Site Reliability Engineering function, or follow-the-sun support model.
• Experience in healthcare, financial services, or another regulated environment.

What You Will Do

• Own the technical direction and end-to-end reliability of the managed Data Platform across AWS, Amazon EKS, Kubernetes, Argo Workflows, Snowflake, S3, Fivetran and custom ingestion pipelines, and Tableau dependencies.
• Lead the technical transition into managed services, including platform discovery, dependency mapping, risk identification, knowledge transfer, shadowing, reverse shadowing, and readiness validation by platform tower.
• Establish and evolve cloud architecture principles, Infrastructure as Code standards, CI/CD and release practices, observability patterns, operational controls, and platform engineering priorities.
• Provide technical leadership for AWS infrastructure, Kubernetes and EKS operations, Argo Workflows, deployment automation, secrets and access management, platform capacity, and production reliability.
• Translate business, service, security, and platform needs into actionable technical requirements, implementation plans, and a prioritized continuous-improvement backlog.
• Guide cross-platform decisions involving Snowflake, dbt, Fivetran, custom ingestion, S3 data-lake operations, workflow orchestration, data quality, and downstream analytics dependencies.
• Lead complex cross-platform troubleshooting and L3 escalation, coordinating engineers when incidents span infrastructure, ingestion, orchestration, Snowflake, and Tableau.
• Direct technical response during major incidents, including impact assessment, stakeholder communication, recovery strategy, root-cause analysis, post-incident review, and preventive actions.
• Ensure that changes and releases include appropriate technical review, dependency analysis, validation, rollback planning, traceability, and coordination across affected platform components.
• Define and monitor reliability indicators such as availability, ingestion success, data freshness, workflow reliability, deployment outcomes, alert quality, mean time to restore service, and recurring incident patterns.
• Lead improvements in automation, observability, auto-remediation, platform resilience, deployment safety, performance, security, capacity management, and cloud cost efficiency.
• Partner with Security, Governance, Analytics, IT, and platform stakeholders to ensure least-privilege access, secrets management, auditability, controlled changes, and appropriate handling of regulated data.
• Review technical designs and high-impact changes, challenge assumptions, document tradeoffs, and ensure solutions remain secure, scalable, and supportable within the managed-service operating model.
• Mentor Senior and Middle-level engineers, delegate ownership effectively, improve team practices, and build consistent technical capability across the distributed team.
• Maintain alignment between the LatAm and India coverage windows through clear ownership, escalation paths, operating procedures, and structured handoffs.
• Participate in the senior escalation and on-call model for critical incidents outside staffed service hours.

Perks and Benefits

• Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation : USD-based pay with education, fitness, and team activity budgets.
• Exciting projects : Modern solutions with Fortune 500 and top product companies.
• Flextime : Flexible schedule with remote and office options.

Requirements

6+ years of software engineering experience developing applications and services hosted on public cloud infrastructure. 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC) 2+ years of experience developing Agentic models (e.g., OpenAI, Anthropic) using grasp Retrieval-Augmented Generation (RAG) and Vector databases. Proven capability of technical leadership in a global organization developing technology strategy and driving technology programs Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.