Senior Data Platform Engineer — Remote & Flexible

AgileEngine, LLC.; Buenos Aires; Hybrid; ARS 227,383,000 - 272,860,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime

Job summary

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

You will architect data catalogs, metadata, lineage, and access controls, and develop secure APIs and enterprise-grade data tools.

Join a people-first team delivering modern data solutions for Fortune 500 brands and startups, with flexible remote/office options and USD-based compensation.

Qualifications

• Bachelor's in CS/Data Engineering/Software Engineering/related STEM.
• 5+ years software/data engineering experience.
• 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.

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

Cloud data platforms

Data catalogs

Metadata

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Apache Spark

CI/CD

Automated testing

Secure APIs

RBAC

Secrets management

Education

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

Tools

Databricks

Unity Catalog

Data Lake

CI/CD tools

MCP servers

Job description

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

You will architect data catalogs, metadata, lineage, and access controls, and develop secure APIs and enterprise-grade data tools.

Join a people-first team delivering modern data solutions for Fortune 500 brands and startups, with flexible remote/office options and USD-based compensation.