Senior Data Platform Engineer - Flexible, Remote, Growth

AgileEngine, LLC.; San Miguel de Tucumán; Remote; ARS 215,229,000 - 307,470,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls. You will design patterns for governed data services and implement identity, access controls, and policy enforcement across environments.

You will also develop secure APIs and MCP tools for enterprise and AI-enabled apps, mentor peers, and partner with governance teams to ensure observability and reliability of data platforms.

Qualifications

• 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
• Full lifecycle experience: architecture → development → deployment → production support
• Upper-intermediate English level.

Responsibilities

• 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

Skills

Python

SQL

Distributed processing

Data modeling

Modern data engineering frameworks

CI/CD

Secure APIs

RBAC/security

English (upper-intermediate)

Education

Bachelor's in CS/Data Engineering/Software Engineering/related STEM

Bachelor's + Master’s/higher in STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD tooling

GITLab CI/CD

Job description

AgileEngine, LLC. is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls. You will design patterns for governed data services and implement identity, access controls, and policy enforcement across environments.

You will also develop secure APIs and MCP tools for enterprise and AI-enabled apps, mentor peers, and partner with governance teams to ensure observability and reliability of data platforms.