Senior Remote Data Platform Engineer for AI Tooling

Itx-Jordan; Quilmes; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

USD-based pay

Remote and office options

TechTalks and mentorship

Job summary

AgileEngine is a leading software provider building secure, scalable data platform capabilities for enterprise and AI-enabled apps. We design automation for governance, metadata, lineage, and data quality while ensuring least-privilege security.

You will mentor engineers, own production code, and partner with governance teams to deliver robust data services. This role emphasizes architecture, deployment, and observability across environments.

Qualifications

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

Cloud data platforms

Data catalogs

Metadata

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD

Automated testing

APIs

RBAC

Secrets management

Least-privilege security

Full lifecycle

English (Upper-intermediate)

Education

Bachelor's degree in CS/Data Engineering/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)

Job description

AgileEngine is a leading software provider building secure, scalable data platform capabilities for enterprise and AI-enabled apps. We design automation for governance, metadata, lineage, and data quality while ensuring least-privilege security.

You will mentor engineers, own production code, and partner with governance teams to deliver robust data services. This role emphasizes architecture, deployment, and observability across environments.