Senior Platform Engineer

Acsys; Argentina; On-site; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Competitive salary in USD

Connectivity allowance

Discounted Medicus health plan

Birthday day off

15 days of vacation

University discounts

Job summary

Acsys in Argentina is seeking a Senior Platform Engineer to shape the data platform on Databricks and Azure. You will build platform foundations, automation, and self-service tooling used by multiple product teams to craft data solutions at scale.

This role emphasizes ownership, end-to-end delivery, and collaboration in a global context, with a focus on enterprise-grade security and scalable deployment pipelines.

Qualifications

• Extensive Databricks platform experience in enterprise environments.
• Azure design and operations experience including networking and IAM.
• IaC with Terraform or similar tools to automate provisioning.
• CI/CD pipelines using GitHub Actions across multiple teams.
• Strong software development skills in Python/Java/C#/TypeScript.
• Experience operating large-scale data platforms for multiple teams.
• Familiar with AI coding agents and reviewing generated code.
• Ability to troubleshoot Databricks, Azure, and GitHub end-to-end.

Responsibilities

• Build and evolve platform foundations, automation, and self-service tooling.
• Support multiple product teams to deliver data solutions at scale.
• Own end-to-end platform delivery, governance, and reliability.

Skills

Databricks Platform

Microsoft Azure

Infrastructure as Code

CI/CD & GitHub

Software Engineering

Data Platform Operations

AI-Assisted Engineering

Problem Solving & Ownership

Tools

Terraform

GitHub Actions

Databricks

Azure

Python

Java

TypeScript

Job description

Join our team as a Senior Platform Engineer – Databricks & Azure!

At Acsys, we are looking for an experienced Senior Platform Engineer based in Argentina to join a global project with a leading multinational company.

This is not a traditional Data Engineer role: you will build and evolve the platform foundations, automation, and self-service tooling that multiple product teams rely on to build and operate data solutions at scale.

What are we looking for?

• Databricks Platform Expertise: Strong hands-on experience with Databricks in enterprise environments, including workspaces, clusters, jobs, Unity Catalog, security and permissions, environment management, and operations.


• Microsoft Azure: Solid experience designing and operating solutions on Azure, including networking, identity and access management (Entra ID/RBAC), storage, monitoring, security, and governance controls.


• Infrastructure as Code: Hands-on experience with Terraform or similar tools to automate provisioning, configuration, and environment setup.


• CI/CD & GitHub: Strong experience with GitHub Actions, branching strategies, pull request workflows, and automated deployment pipelines across multiple teams.


• Software Engineering: Strong development skills in Python, Java, C#, or TypeScript to build maintainable platform services, automation frameworks, and API integrations.


• Data Platform Operations: Experience operating large-scale enterprise data platforms and supporting multiple teams within a shared platform ecosystem.


• AI-Assisted Engineering: Practical experience using AI coding agents such as GitHub Copilot or Factory.ai to produce production code, with strong judgment to review their output critically.


• Problem Solving & Ownership: Ability to troubleshoot complex issues across Databricks, Azure, and GitHub, working in small pods with end-to-end ownership under a Kanban model.

Nice to Have

• Experience building developer self-service capabilities


• Integration of cloud-native services with Databricks


• AI/ML platform operations and governance


• Observability and platform reliability practices


• Databricks or Azure certifications


• Experience in global, distributed engineering teams


• Competitive salary in USD


• Connectivity allowance


• Discounted Medicus health plan


• Birthday day off


• 15 days of vacation


• Discounts at universities (UCES and UTN) and Udemy (client)


• Training opportunities and more!