Remote DataOps Engineer – Databricks & Unity Catalog

Bridgenext; Argentina; Remote; ARS 139,086,000 - 231,811,000; Full time

Job summary

Bridgenext is seeking a DataOps engineer to automate Databricks Jobs/Workflows, DL T, and SQL tasks, and to implement Unity Catalog at scale. You will design CI/CD pipelines, IaC, and governance templates while ensuring security and auditable changes.

You will collaborate with diverse teams, leveraging Terraform, Python, and cloud services to deliver reliable, scalable data pipelines. The role supports a flexible, remote-friendly environment.

Qualifications

• 5–8 years of experience in data engineering or cloud infrastructure.
• Strong Databricks administration and workflow experience.
• Terraform for IaC and automation.
• AWS cloud services knowledge.
• Python scripting for automation.
• CI/CD practices and Git version control.
• Exposure to Agentic AI solutions or similar.
• Excellent English communication skills.

Responsibilities

• Automate Databricks Jobs/Workflows and SQL tasks.
• Implement and operate Unity Catalog governance at scale.
• Design CI/CD pipelines and IaC processes with GitHub Actions/Azure DevOps/GitLab.
• Provide templates for job definitions with logging and alerts.
• Enforce security models: run-as principals, versioning, auditability.
• Provision infrastructure via Terraform and Databricks SDK/REST API.
• Support Delta Sharing and catalog migrations.

Skills

Databricks administration

Databricks workflow development

Terraform

AWS cloud

Python scripting

CI/CD

Git

Agentic AI

English communication

Tools

Databricks

Terraform

GitHub Actions

Azure DevOps

GitLab

Python

Job description

Bridgenext is seeking a DataOps engineer to automate Databricks Jobs/Workflows, DL T, and SQL tasks, and to implement Unity Catalog at scale. You will design CI/CD pipelines, IaC, and governance templates while ensuring security and auditable changes.

You will collaborate with diverse teams, leveraging Terraform, Python, and cloud services to deliver reliable, scalable data pipelines. The role supports a flexible, remote-friendly environment.