Senior Data Platform Engineer ID92538

Hace 1 día

Cartagena de Indias, Bolívar, Colombia AgileEngine, LLC. Jornada completa $ 453,12 - $ 647,31/año

Cartagena, Colombia | Posted on 10/08/2026

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: Flexible schedule with remote and office options.