Senior Data Platform Engineer (AWS, DataOps)

Hirehangar; Buenos Aires; On-site; ARS 3,200,000 - 5,200,000; Full time

Benefits offered by this job

Health insurance

Meal allowance

Job summary

Proofpoint is seeking a Staff Data Engineer to design, build, and operate large-scale data infrastructure on AWS. You will collaborate with data scientists, product engineers, and stakeholders to deliver governed, reliable data assets for analytics and cybersecurity products.

You will shape data pipelines, governance, and performance, mentoring junior engineers and driving best practices across the data platform team.

Qualifications

• 8+ years of professional software or data engineering experience, with at least 4 years focused on cloud data platforms.
• Deep expertise with AWS data services: S3 (lifecycle policies, event notifications, encryption), AWS Glue (ETL jobs, Crawlers, Data Catalog, Glue Studio), and Amazon Athena (query optimization, workgroups, federated queries).
• Strong Python programming skills; proficiency writing production-grade PySpark or Spark (Scala) for large-scale data transformation.
• Solid SQL fundamentals-ability to write and tune complex analytical queries.
• Excellent communication skills-able to present technical trade-offs clearly to both engineering and non-engineering stakeholders.
• Proven experience mentoring engineers and leading technical design discussions.
• Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

Responsibilities

• Design and implement scalable, reliable data pipelines using AWS Glue (PySpark and Glue Studio) to ingest and transform petabyte-scale datasets stored in Amazon S3.
• Build and maintain our cloud data lake architecture on S3-defining partition strategies, file formats (Parquet, ORC, Delta), and data-catalog schemas in AWS Glue Data Catalog.
• Establish and enforce data quality standards-implement validation frameworks, anomaly detection, and SLA-driven alerting to ensure data reliability.
• Define and drive engineering best practices: code reviews, CI/CD for data pipelines, Infrastructure-as-Code (Terraform/CDK), and DataOps principles.
• Serve as a technical leader and mentor-conduct design reviews, guide junior engineers, and influence the team's technical roadmap.
• Collaborate closely with data scientists, ML engineers, and product managers to translate business requirements into robust data models and pipeline specifications.
• Champion data governance, lineage tracking, and privacy-by-design principles across all data assets.
• Troubleshoot and resolve production incidents, perform root‑cause analysis, and drive preventive improvements.
• Contribute to architecture decision records (ADRs) and technical documentation.

Skills

AWS data services

Python

PySpark

SQL

Communication

Mentoring

Team collaboration

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Tools

S3

AWS Glue

Athena

Spark/Scala

Kinesis

Lake Formation

Redshift

Job description

Proofpoint is seeking a Staff Data Engineer to design, build, and operate large-scale data infrastructure on AWS. You will collaborate with data scientists, product engineers, and stakeholders to deliver governed, reliable data assets for analytics and cybersecurity products.

You will shape data pipelines, governance, and performance, mentoring junior engineers and driving best practices across the data platform team.