Databricks Platform Engineer

GyanSys Inc.; Argentina; On-site; ARS 91,438,000 - 137,157,000; Full time

Job summary

GyanSys Inc. is seeking a Databricks Platform Engineer to design and manage a scalable, secure Databricks platform that supports data engineering, data science, and MLOps workflows.

You will work across the dev, stage, and prod lifecycle, ensuring reliable operation and cost-effective use of Databricks compute. The role emphasizes security posture and IAM governance, with collaboration across teams and cloud infrastructure.

Qualifications

• 4+ years of relevant experience.
• Deep Databricks knowledge and capabilities.
• Hands-on with Delta Live Tables, Workflows, Unity Catalog.
• Proficient in IaC and GitHub for version control.
• Cloud experience; AWS preferred.

Responsibilities

• Design and manage the Databricks platform for data engineering and MLOps.
• Ensure scalability, reliability, and security of the platform.
• Collaborate across dev, stage, and prod lifecycles.
• Monitor compute usage, security, and cost-performance.

Skills

Databricks platform

Cloud experience

Security best practices

Cost optimization

IaC familiarity

Tools

Delta Live Tables

Unity Catalog

GitHub

Terraform

Job description

We are looking for a Databricks Platform Engineer to design and manage our Databricks platform, supporting data engineering, data science, and MLOps workflows. You will play a key role in ensuring the platform is scalable, reliable, and secure.

What You'll Do

• Design and manage the Databricks platform to support data engineering, data science, and MLOps workflows.
• Ensure the platform is scalable, reliable, and secure.
• Work across the dev, stage, and prod development lifecycle.
• Monitor Databricks compute and the overall platform from both a security and a cost-performance perspective.

What We're Looking For

• 4+ years of relevant experience.
• Deep understanding of Databricks features and limitations.
• Hands-on experience with native Databricks functionalities, including Delta Live Tables (DLT), Workflows, and Unity Catalog.
• Proficiency in the dev, stage, and prod development lifecycle.
• Experience with Infrastructure as Code (IaC).
• Experience using GitHub for version control.
• Experience monitoring Databricks compute and the platform from security and cost-performance perspectives.
• Cloud platform experience, with AWS preferred.