Global Senior Data Scientist - Remote Ml & Analytics

Lulo Bank; Buenos Aires; Hybrid; ARS 184,482,000 - 276,723,000; Full time

Job summary

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

This role focuses on building cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that empower data engineering teams to ship high-quality data products faster and more safely. You will design and operate data workflows using AWS Glue, Athena, and S3, bringing a strong

Qualifications

• Experience building and operating data pipelines in cloud environments.
• Ability to design, implement, and maintain CI/CD pipelines for data infrastructure.
• Strong automation mindset and focus on reliability, observability, and developer experience.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and related data infrastructure.
• Build and manage AWS cloud infrastructure using IaC (Terraform and/or AWS CDK).
• Own the observability stack for data pipelines with metrics, logs, and alerts.
• Develop and maintain DataOps self-service tooling and templates.
• Manage container and compute infra (Docker, ECS/EKS, or Lambda) for data ingestion services.
• Design and operate workflow orchestration environments (MWAA/Apache Airflow, Step Functions).

Tools

GitHub Actions

Jenkins

Terraform

AWS CDK

AWS Glue

Athena

S3

Docker

ECS/EKS

Airflow

MWAA

Step Functions

CloudWatch

Datadog

Job description

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.