Senior Data Platform Engineer – AWS Glue & Data Infra

Maxit Consulting - Max Corporate Group; Buenos Aires; Hybrid; ARS 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive benefits

Career success on your terms

Flexible work environment

Annual wellness and community outreach

Always on recognition for your贡献

Job summary

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure—owning reliability, automation, and delivery of data pipelines and analytics capabilities.

You will build and maintain AWS-first cloud infrastructure, CI/CD tooling, and observability to empower data engineering teams to ship high-quality data products faster and safely.

Qualifications

• 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering.
• Experience with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
• Hands-on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
• Proficiency with Infrastructure-as-Code tools—Terraform and/or AWS CDK—for managing production cloud environments.
• Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
• Experience with container technologies (Docker) and container orchestration (ECS, EKS, or Kubernetes).

Responsibilities

• Implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)—covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.

Tools

AWS Core Services

Glue (ETL)

Athena

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Docker

Kubernetes

ECS/EKS

CloudFormation

Job description

Proofpoint is seeking a DevOps and Data Engineer to join our Data Platform team. This hybrid role sits at the intersection of platform engineering and data infrastructure—owning reliability, automation, and delivery of data pipelines and analytics capabilities.

You will build and maintain AWS-first cloud infrastructure, CI/CD tooling, and observability to empower data engineering teams to ship high-quality data products faster and safely.