AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Architect specialized in the Adobe Experience Platform to unify customer data across the enterprise. This person architects RTCDP and AJO solutions, designs XDM schemas, and configures identity resolution frameworks that power unified customer profiles. Partnering with marketing and analytics teams on data ingestion and activation is central here.

MUST HAVES

- 5+ years of experience in Data Architecture, MarTech engineering, or Data Engineering.
- Proven hands‑on expertise with the Adobe Experience Platform (AEP), specifically RTCDP and Adobe Journey Optimizer (AJO).
- Deep understanding of the Experience Data Model (XDM) and JSON‑based schema design.
- Strong background in data ingestion (REST APIs, cloud storage connections, streaming endpoints) and data integration strategies.
- Experience with identity management, profile stitching, and building unified customer profiles.
- Proficiency in querying languages (SQL) and marketing automation workflows.
- Strong communication skills with the ability to translate marketing objectives into technical data architectures.
- Upper‑intermediate English level.

NICE TO HAVES

- Experience with other Adobe ecosystem tools (Adobe Target, Adobe Analytics, Customer Journey Analytics).
- Familiarity with Python, JavaScript, or general cloud infrastructure (AWS, Azure, GCP).
- Previous experience migrating legacy DMP or marketing automation platforms into AEP.
- Adobe certifications in RTCDP or AJO.

WHAT YOU WILL DO

- Design and implement robust data architectures within the Adobe Experience Platform (AEP), focusing heavily on RTCDP and AJO.
- Architect and maintain the Experience Data Model (XDM) schemas, ensuring standardized data taxonomies across the organization.
- Configure data ingestion pipelines (batch and streaming) from various enterprise sources into AEP.
- Define and configure identity resolution frameworks and merge policies to build comprehensive, unified customer profiles.
- Partner with CRM and Marketing teams to build and orchestrate complex, cross‑channel customer journeys in Adobe Journey Optimizer (AJO).
- Create and manage advanced audience segments within RTCDP for activation across various marketing destinations.
- Troubleshoot and optimize data flows, ensuring high data quality, governance, and compliance with privacy regulations.
- Provide technical leadership and mentorship to junior engineers and cross‑functional teams regarding AEP best practices.

PERKS AND BENEFITS

- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

Proofpoint

Proofpoint is a general 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, Responsive, Accountable, Visionary, Exceptional.

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

- 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—a 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.

Proofpoint has been honored with six Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Career Growth, Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams.

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📌 Senior Data Architect Ingestion, Etl & Power Bi (Buenos Aires)
🏢 Pearster
📍 Buenos Aires