DataOps Engineer - Databricks & Cloud Automation

Dlocal LLP; Buenos Aires; On-site; ARS 1,800,000 - 3,200,000; Full time

Job summary

dLocal LLP is seeking a DataOps Technical Referent to design, build, and operate a scalable data-mesh platform. You will combine hands-on engineering with leadership to automate data workflows, improve platform operations, and turn requirements into practical solutions across cloud, data engineering, and analytics.

You’ll focus on Databricks administration, infrastructure as code, and collaboration with cloud and security teams to ensure reliability, performance, and governance.

Qualifications

• Proficient in Python, Bash and SQL with strong data engineering foundation.
• Experience with Terraform and infrastructure-as-code practices.
• Hands-on Databricks administration and data platform automation.
• Familiarity with cloud providers (AWS, GCP) and container tooling (Docker, Kubernetes).

Responsibilities

• Build and maintain Python components, Terraform modules, and CI/CD pipelines to automate data platform processes and infrastructure.
• Administer and support Databricks workspaces and platform capabilities, including access controls and compute policies.
• Manage Databricks infrastructure as code across environments for provisioning and configuration.
• Support Databricks IAM, secrets, networking, and integrations with cloud and security teams.
• Operate and optimize Databricks workloads, monitor reliability and cost, and coordinate issue resolutions.
• Integrate APIs and platform tools to automate data operations and connect infrastructure and services.
• Deploy, maintain, and oversee cloud infrastructure to meet reliability and performance needs.
• Develop data models, platform best practices, and technical documentation for users.
• Establish and improve DataOps and DevOps practices, policies, and processes.
• Collaborate with stakeholders to clarify requirements and drive issues to resolution.
• Contribute to platform architecture and governance practices.

Skills

Python

Bash

SQL

Data modeling

Streaming data

Event-driven

Monitoring

Cross-functional collaboration

Tools

Terraform

Git

CI/CD

Databricks

AWS

GCP

Docker

Kubernetes

Helm

Kafka

AWS Kinesis

Job description

dLocal LLP is seeking a DataOps Technical Referent to design, build, and operate a scalable data-mesh platform. You will combine hands-on engineering with leadership to automate data workflows, improve platform operations, and turn requirements into practical solutions across cloud, data engineering, and analytics.

You’ll focus on Databricks administration, infrastructure as code, and collaboration with cloud and security teams to ensure reliability, performance, and governance.