Remote Senior Bi & Data Solutions Lead

Accelone Llc; Buenos Aires; Hybrid; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Remote work

Connectivity allowance

Gym reimbursement

Health insurance

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 systems powering data pipelines and analytics, building cloud infrastructure on AWS, CI/CD tooling, and data workflows.

You will design and operate data pipelines with Glue, Athena, and S3, contributing to the observability, security, and performance of the platform, while mentoring engineers and leading incident response when needed.

Qualifications

• 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with data engineering exposure.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS).
• Proficiency with Infrastructure-as-Code tools (Terraform and/or AWS CDK).
• Strong CI/CD experience and container orchestration knowledge.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AWS Glue ETL jobs and data infra.
• Manage cloud infrastructure on AWS using IaC (Terraform / CDK).
• Own observability stack with metrics, logs, and alerts for data pipelines.
• Mentor junior engineers on DevOps and data engineering practices.

Skills

5+ years DevOps/SRE

Strong communication

English proficiency

Tools

AWS

Terraform

AWS CDK

GitHub Actions

Jenkins

Kubernetes

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.
• 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.

What You Bring to the Team

Required

• 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.

Nice to Have

• Familiarity with real‑time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.
• Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.
• Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.
• Background in cybersecurity, threat intelligence, or security‑data analytics environments.
• AWS Certified DevOps Engineer - Professional, AWS Certified Data Engineer - Associate, or AWS Certified Solutions Architect certification.
• Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).

Why Proofpoint?

• Competitive compensation
• Comprehensive benefits
• Career success on your terms
• Flexible work environment
• Annual wellness and community outreach days
• Always on recognition for your contributions
• Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.

We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to .

Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.

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