Senior Ai & Data Platform Architect – Cloud

Bairesdev; Buenos Aires; Híbrido; ARS 138 361 000 - 184 482 000; Tempo integral

Resumo da oferta

Proofpoint is seeking a Senior DevOps and Data Engineer to join the Data Platform team in a hybrid role, responsible for reliability, automation, and delivery of data pipelines and analytics capabilities.

You will build and maintain cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineers to ship high-quality data products faster and more safely, while contributing to data pipelines using Glue, Athena, and S3.

Qualificações

• Experience designing and running CI/CD pipelines for data workloads.
• Proficient with AWS services (Glue, Athena, S3) and IaC tools.
• Strong Linux scripting and incident response mindset.

Responsabilidades

• Design, implement, and maintain CI/CD pipelines for data infrastructure and ETL jobs.
• Build and manage AWS-based data infrastructure using IaC (Terraform/AWS CDK).
• Own observability stack: metrics, logs, alerts for data pipelines.
• Develop self-service DataOps tooling and reusable pipeline templates.
• Manage container and compute infra (Docker, ECS/EKS, Lambda) for data ingestion services.
• Operate workflow orchestration (MWAA/Airflow, Step Functions) with reliability hardening.

Conhecimentos

CI/CD automation

Cloud infrastructure

Data platform

Observability

DevOps tooling

Ferramentas

GitHub Actions

Jenkins

Terraform

AWS CDK

AWS Glue

Amazon Athena

Amazon S3

CloudWatch

Datadog

Docker

ECS

EKS

Lambda

MWAA

Apache Airflow

AWS Step Functions

Descrição da oferta de emprego

Cordoba, Argentina
Full time
R14751

About Us

Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.

How We Work

At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values:

• Bold in how we dream and innovate
• Responsive to feedback, challenges and opportunities
• Accountable for results and best in class outcomes
• Visionary in future focused problem-solving
• Exceptional in execution and impact

Position Overview

Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.

What You'll Do

• 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 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.
• 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.