AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE
We are looking for a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.

MUST HAVES

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

5+ years software/data engineering experience (or equivalent demonstrated skill)

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

NICE TO HAVES

GitLab CI/CD or comparable

Policy-as-code, infrastructure-as-code, configuration-driven platforms

Experience building data marketplaces, governance platforms,



or internal developer platforms

Familiarity with privacy/security/regulatory/AI governance controls

Experience in regulated or risk-sensitive environments

WHAT YOU WILL DO

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

PERKS AND BENEFITS

Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation : USD-based pay with education, fitness, and team activity budgets.

Exciting projects : Modern solutions with Fortune 500 and top product companies.

Flextime : Versátil schedule with remote and office options.

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📌 Senior Data Platform Engineer (León)
🏢 Agileengine
📍 León