100% Remote Full-time
English: Intermediate/Advanced (required — interviews conducted in English) | 9:00 AM – 5:00 PM UTC
CVs must be submitted in English
About the Role
Join the team supporting one of the world's largest automotive manufacturers, working within a global consulting firm to lead the planning and execution of a critical data migration program. You will coordinate cross-functional teams, define the migration approach and controls, and manage risks to ensure a smooth and reliable transition to the target system.
Responsibilities
- Lead the end-to-end planning and execution of data migration activities
- Ensure data is accurate, complete, and ready for use in the target system
- Coordinate cross-functional migration teams across workstreams
- Define the data migration approach, methodology and quality controls
- Identify, assess and manage migration risks and issues
- Ensure a smooth and reliable transition with minimal disruption
- Report migration status and progress to senior stakeholders
Required Skills
- Proven experience as a Data Migration Lead or Team Lead in large-scale enterprise programs
- Strong knowledge of data migration methodology: extraction, transformation, cleansing, validation and loading
- Experience coordinating cross-functional teams across multiple workstreams
- Ability to define migration controls and risk management strategies
- Experience working in S/4HANA or similar ERP migration programs (preferred)
- Intermediate to advanced English — interviews and daily work conducted in English
- Availability to work in UTC timezone (9:00 AM – 5:00 PM)
Hiring Process
- Collaborative environment with high-impact projects across leading industries
- Connectivity allowance
- Gym reimbursement
- PedidosYa credit
- Statutory vacation
- Health insurance: Swiss Medical or OSDE
Cordoba, Argentina
Full time
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 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.
What You’ll Do
- 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.
What You Bring to the Team
Required
- 2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
- 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