Remote Senior Data Platform Engineer — Governance & AI

Frontdoor Defense; Rosario; Hybrid; ARS 212,038,000 - 318,057,000; 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 governance controls. You will architect data platforms, implement automated controls, and develop secure APIs for enterprise/AI-enabled apps.

Ideal candidates bring 5+ years in data engineering with Python/SQL, Databricks, Spark, and cloud data platforms, plus RBAC and secure-by-design mindset. Flexible, hybrid work with competitive USD-based compensation.

Qualifications

• Bachelor's degree in CS/Data Eng/related STEM or higher.
• 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

Data engineering frameworks

Cloud data platforms

Data catalogs

Metadata management

Data lineage

Data quality

Access controls

Databricks

Apache Spark

CI/CD

Secure APIs

RBAC

Least-privilege

Education

Bachelor's in CS/Data Engineering/related STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

Job description

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls. You will architect data platforms, implement automated controls, and develop secure APIs for enterprise/AI-enabled apps.

Ideal candidates bring 5+ years in data engineering with Python/SQL, Databricks, Spark, and cloud data platforms, plus RBAC and secure-by-design mindset. Flexible, hybrid work with competitive USD-based compensation.