Remote Data Platform Engineer for AI Tooling (LatAm)

Itx-Jordan; Rosario; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Senior Data Platform Engineer to build scalable data platform capabilities and automate governance controls across data products and AI-enabled apps. You will implement robust security, RBAC, data quality, lineage, and secure APIs while enabling production-grade workflows and observability.

The role involves collaborating with governance teams, PMs, and engineers to drive technical controls and reliable deployments.

Qualifications

• Bachelor’s in CS/Data Engineering or related STEM.
• 5+ years software/data engineering experience.
• 5+ years with Python, SQL, distributed processing, data modeling.
• 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

Cloud data platforms

Databricks

CI/CD

RBAC security

English communication

Education

Bachelor's in CS/Engineering

Tools

Databricks

Unity Catalog

Apache Spark

Job description

AgileEngine is seeking a Senior Data Platform Engineer to build scalable data platform capabilities and automate governance controls across data products and AI-enabled apps. You will implement robust security, RBAC, data quality, lineage, and secure APIs while enabling production-grade workflows and observability.

The role involves collaborating with governance teams, PMs, and engineers to drive technical controls and reliable deployments.