Databricks Platform Cloud Engineer (Remote - Latam)

This position is posted by Jobgether on behalf of a partner company.

We are currently looking for a

Databricks Platform Cloud Engineer

in

Latin America

As a Databricks Platform Cloud Engineer, you will play a crucial role in managing, automating, and optimizing a modern data analytics platform.

You will ensure that data teams can operate efficiently, securely, and at scale while leveraging cloud infrastructure and best practices in DevOps.

This role blends hands-on administration with automation through Infrastructure as Code (IaC) and Terraform, enabling consistency, reliability, and operational excellence across environments.

You will collaborate with cross-functional teams to monitor performance, implement security standards, and streamline workflows while supporting business-critical analytics initiatives in a fully remote, dynamic environment.

Accountabilities

Manage and maintain the Databricks platform, including users, access controls, clusters, workspaces, and jobs.

Automate platform provisioning and environment management using

Terraform

and IaC principles.

Oversee platform security and compliance, implementing policies via SCIM, IAM, Unity Catalog, and SSO.

Monitor platform performance, logging, and cost efficiency using tools like

Datadog

and

CloudWatch

Manage networking and cloud infrastructure in

AWS, Azure, or GCP

to ensure reliability and scalability.

Collaborate with data and analytics teams to support efficient, secure, and high-performing workflows.

10+ years of experience in

Databricks platform administration

, including Admin Console, REST API, and CLI.

Strong

IaC & DevOps skills

: Terraform, Git, CI / CD pipelines.

Expertise in

cloud platforms

: AWS, Azure, and / or GCP.

Proficiency in platform

security and governance

, including SCIM, IAM, Unity Catalog, and SSO.

Experience with

monitoring and observability

tools such as Datadog, CloudWatch, and logging APIs.

Ability to manage and optimize complex cloud-based data infrastructure.

Strong problem-solving skills, attention to detail, and ability to collaborate in remote, cross-functional teams.

Fully remote work, flexible schedule across Latin America.

Opportunity to work with cutting-edge cloud and data analytics technologies.

Hands-on role with significant impact on platform performance, security, and scalability.

Professional growth and mentorship in DevOps, cloud engineering, and data infrastructure.

Collaborative and dynamic team environment.

Exposure to multiple cloud providers and enterprise-scale analytics solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

It compares your profile to the job's core requirements and past success factors to determine your match score.

Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.

Once the shortlist is completed, we share it directly with the company that owns the job opening.

The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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