Senior Data Platform Engineer: Secure Data Governance

Agileengine, Llc.; Rosario; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls. You will architect governance automation for metadata, ownership, lineage, data quality, and access, while delivering secure APIs and enterprise integrations.

You will mentor engineers, design configuration-driven patterns, and ensure observability across environments, owning production-quality code and documentation throughout the development

Qualifications

• Bachelor's degree in CS/Data Engineering/Software Engineering or related STEM field.
• 5+ years software/data engineering experience.
• 5+ years with Python, SQL, distributed processing, data modeling, modern data engineering frameworks.
• 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

Data pipelines

Cloud platforms

Data catalogs

Metadata management

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Apache Spark

CI/CD

Automated testing

Secure APIs

RBAC

least-privilege security

Education

Bachelor's in CS/Data Engineering/Software Engineering

Master's or higher in STEM

Tools

GitLab CI/CD

MCP servers

APIs

Job description

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls. You will architect governance automation for metadata, ownership, lineage, data quality, and access, while delivering secure APIs and enterprise integrations.

You will mentor engineers, design configuration-driven patterns, and ensure observability across environments, owning production-quality code and documentation throughout the development