Senior Data Platform Engineer ID92538

AgileEngine, LLC.; Mar del Plata; Hybrid; ARS 181.906.000 - 272.860.000; Vollzeit

Benefits dieser Stelle

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Zusammenfassung

AgileEngine, LLC. is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.

You will architect platforms, implement automated controls for metadata and data quality, and develop secure APIs for enterprise/AI-enabled applications. As a senior engineer, you will design configuration-driven patterns, enforce least-privilege security, and drive observability and deployment automation across environments.

Qualifikationen

• Bachelor's degree in CS/Data Engineering/Software Engineering or STEM.
• 5+ years of software/data engineering experience.
• 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, and access controls.
• Experience with Databricks, Unity Catalog, Data Lake, Apache Spark or comparable.
• CI/CD, automated testing, environment separation, and production deployment.
• Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps.
• Enterprise identity, RBAC, service accounts, secrets, least-privilege security.

Aufgaben

• 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.

Kenntnisse

5+ years software/data engineering

Python

SQL

distributed processing

data modeling

modern data engineering frameworks

CI/CD

automated testing

environment separation

production deployment

secure APIs

RBAC / identity security

Ausbildung

Bachelor's in CS/Data Eng/Software Eng (or STEM)

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

MCP servers

GitLab CI/CD

Jobbeschreibung

MAR DEL PLATA, Argentina | Posted on 10/08/2026

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.