Senior Data Platform Engineer — AWS, ETL & DevOps Lead

Digital Executive; Buenos Aires; Hybrid; ARS 3,000,000 - 6,000,000; Full time

Job summary

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role based in Córdoba, Argentina. You will own reliability, automation, and delivery of data pipelines and analytics capabilities, building cloud infrastructure (AWS-first), CI/CD tooling, and DataOps self-service platforms.

You'll design and operate data workflows with AWS Glue, Athena, S3, and orchestration tools, while enforcing security, observability, and scalable performance across teams.

Qualifications

• Experience designing and maintaining CI/CD pipelines for data platforms.
• Strong background in cloud infrastructure and data engineering practices.
• Familiarity with security best practices and incident response in data environments.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and data infra.
• Build and manage AWS cloud infrastructure with IaC (Terraform / AWS CDK).
• Own observability stack: metrics, logs, alerts for data pipelines.
• Develop self-service DataOps tooling and reusable templates.
• Lead incident response for data platform outages and perform root-cause analysis.
• Mentor junior engineers in DevOps and data engineering practices.

Skills

CI/CD pipelines

DevOps

Cloud infrastructure

Data platforms

Tools

GitHub Actions

Jenkins

Terraform

AWS CDK

Docker

ECS/EKS

Lambda

Airflow/MWAA

Glue

S3

CloudWatch

Datadog

Secrets Manager

IAM

Job description

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role based in Córdoba, Argentina. You will own reliability, automation, and delivery of data pipelines and analytics capabilities, building cloud infrastructure (AWS-first), CI/CD tooling, and DataOps self-service platforms.

You'll design and operate data workflows with AWS Glue, Athena, S3, and orchestration tools, while enforcing security, observability, and scalable performance across teams.