Senior Data Platform Engineer ID92538

AgileEngine, LLC.; Cartagena de Indias; Ibrido; COP 453.118.000 - 647.312.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine, LLC. in Cartagena, Colombia seeks a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate data governance controls.

The role requires 5+ years in data engineering, deep Python/SQL skills, Databricks and Spark, and a track record delivering enterprise data solutions with strong security and RBAC.

Competenze

• Bachelor's in CS/Data Engineering/related STEM or equivalent.
• 5+ years software/data engineering experience demonstrated.
• 5+ years with Python, SQL, distributed processing, data modeling and modern data engineering frameworks.

Mansioni

• Architect secure, scalable data platform and governance automation.
• Build automated controls for metadata, lineage, data quality, access and policy enforcement.
• Develop secure APIs and integrations for enterprise/AI apps.
• Design configuration-driven patterns for governed data platforms.
• Implement identity, authz, least-privilege access and auditability.
• Automate validation, testing, deployment, and monitoring across environments.
• Collaborate with governance teams and engineers on technical controls.
• Establish observability for platform health and data quality.

Conoscenze

Python

SQL

Distributed processing

Data modeling

Modern data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Data lineage

Data quality

Access controls

Databricks

Unity Catalog

Apache Spark

CI/CD

Automated testing

Environment separation

Production deployment

Secure APIs

RBAC

Least-privilege security

Formazione

Bachelor's degree in CS/Data Eng/Software Eng

Strumenti

GitLab CI/CD

MCP servers

APIs for enterprise apps

Descrizione del lavoro

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.