Senior LatAm Data Platform Architect & Lead

Entrepreneur Cooperative; Buenos Aires; Ibrido; ARS 139.086.000 - 216.357.000; Tempo pieno

Descrizione del lavoro

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

You will build cloud infrastructure (AWS-first), CI/CD, and DevOps tooling for data teams to ship high-quality data products safely. You will design and operate data workflows, reinforce security, and mentor engineers in DevOps and data practices

Competenze

• 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).
• 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 (Amazon ECS, EKS, or Kubernetes).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills-able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.

Mansioni

• Design, implement, and maintain CI/CD pipelines 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 to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform—self-service tooling, pipeline templates, and shared libraries for production-grade pipelines.
• Manage container and compute infrastructure used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions).
• 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, least-privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem improvements.

Conoscenze

DevOps

AWS core services

Terraform/CDK

CI/CD

Docker/Kubernetes

Observability

Communication

Strumenti

Terraform

AWS CDK

Docker

ECS/EKS

Descrizione del lavoro

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

You will build cloud infrastructure (AWS-first), CI/CD, and DevOps tooling for data teams to ship high-quality data products safely. You will design and operate data workflows, reinforce security, and mentor engineers in DevOps and data practices