Senior Data Platform Engineer: AWS, ETL & DevOps

Maxit Consulting - Max Corporate Group; Buenos Aires; Híbrido; ARS 3.000.000 - 6.000.000; Jornada completa

Descripción de la vacante

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role blends platform engineering with data infrastructure, owning reliability, automation, and delivery of systems powering data pipelines and analytics.

You'll build cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to enable data engineers to ship high-quality data products faster and more safely. Expect a strong operational mindset for data engineering.

Formación

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
• Deep expertise 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).

Responsabilidades

• Design, 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 IaC (Terraform and/or AWS CDK) covering S3, IAM, 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.
• Develop and maintain the DataOps platform—self-service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production-grade pipelines quickly.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
• Drive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least-privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.
• Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.

Conocimientos

AWS core services

CI/CD

IaC

Data engineering

Observability

Docker

Kubernetes/ECS/EKS

Airflow/MWAA

Security best practices

Communication

Herramientas

Terraform/AWS CDK

GitHub Actions/Jenkins/GitLab CI

AWS Glue/Athena/S3

CloudWatch/Datadog

Descripción del empleo

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role blends platform engineering with data infrastructure, owning reliability, automation, and delivery of systems powering data pipelines and analytics.

You'll build cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling to enable data engineers to ship high-quality data products faster and more safely. Expect a strong operational mindset for data engineering.