Senior Data Platform Engineer | Remote, Flexible

AgileEngine, LLC.; Rosario; Hybrid; ARS 184,482,000 - 245,976,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

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 design architectures, implement automated metadata lineage and data quality controls, and deliver enterprise-grade APIs and integrations for AI-enabled applications.

Join a people-first culture with flexible remote/office options and USD-based compensation. You will influence data governance, security, and platform observability across Fortune 500

Qualifications

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

Data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Data quality

Access controls

CI/CD

APIs

RBAC

Least-privilege security

Upper-intermediate English

Education

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

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

GitLab CI/CD

MCP servers

Job description

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls. You will design architectures, implement automated metadata lineage and data quality controls, and deliver enterprise-grade APIs and integrations for AI-enabled applications.

Join a people-first culture with flexible remote/office options and USD-based compensation. You will influence data governance, security, and platform observability across Fortune 500