Aws Data Platform Engineer – Devops & Data Pipelines

Proofpoint; Córdoba; A distancia; ARS 136.310.000 - 196.892.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly culture

USD-based pay

Mentorship & Tech Talks

Flexible schedule

Descripción de la vacante

Proofpoint is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls for Identity Security projects.

You will architect data platforms, implement metadata ownership, lineage, data quality, access controls, and develop secure APIs and integrations for enterprise apps.

This 100% remote LATAM role offers USD pay, full-time contractor engagement, and opportunities to shape governance across Fortune 500 clients.

Formación

• Bachelor's degree in CS/Data Engineering/Software Engineering or related STEM.
• 5+ years software/data engineering experience or equivalent.
• 5+ years with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls.
• Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable.

Responsabilidades

• Architect secure, scalable data platform and governance automation capabilities.
• Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement.
• Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications.
• Design reusable, configuration-driven patterns for governed data/platform services.
• Implement identity, authz, least-privilege access, auditability, and credential management.
• Build automated validation, testing, deployment, and monitoring across environments.
• Partner with domain experts, PMs, governance teams, and engineers on technical controls.
• Establish observability for platform health, data quality, policy results, and failures.
• Own production-quality code, tests, documentation, and operational guidance.
• Mentor other engineers; guide technical direction across teams.

Conocimientos

Python

SQL

Distributed processing

Data modeling

Data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Data lineage

Access controls

APIs security

Educación

Bachelor's in CS/Data Eng/Software Eng

Herramientas

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD

Descripción del empleo

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 Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.

MUST HAVES

• Bachelor's in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
• 5+ years software/data engineering experience (or equivalent demonstrated skill)
• 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls
• Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable
• CI/CD, automated testing, environment separation, production deployment
• Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps
• Enterprise identity, RBAC, service accounts, secrets, least-privilege security

NICE TO HAVES

• GitLab CI/CD or comparable
• Policy-as-code, infrastructure-as-code, configuration-driven platforms
• Experience building data marketplaces, governance platforms, or internal developer platforms
• Familiarity with privacy/security/regulatory/AI governance controls
• Experience in regulated or risk-sensitive environments

WHAT YOU WILL DO

• Architect secure, scalable data platform and governance automation capabilities
• Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement
• Develop secure APIs, MCP tools, and integrations for enterprise/AI-enabled applications
• Design reusable, configuration-driven patterns for governed data/platform services
• Implement identity, authz, least-privilege access, auditability, and credential management
• Build automated validation, testing, deployment, and monitoring across environments
• Partner with domain experts, PMs, governance teams, and engineers on technical controls
• Establish observability for platform health, data quality, policy results, and failures
• Own production-quality code, tests, documentation, and operational guidance
• Mentor other engineers; guide technical direction across teams

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.

• Location: Anywhere in LATAM
• Work Model: 100% Remote
• Engagement: Full-time Contractor
• Payment: USD
• Project: Identity Security / Cybersecurity Platform
• Seniority: Senior