Senior Data Platform Engineer ID92538

AgileEngine; Pereira; Hybrid; COP 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

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 architect data pipelines, implement metadata lineage, RBAC, secure APIs, and collaborate with governance teams to deliver enterprise-grade data solutions across cloud platforms. This role requires strong data engineering skills and leadership in a fast-paced environment.

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

Modern data engineering frameworks

Cloud data platforms

Data catalogs

Metadata

Lineage

Data quality

Access controls

Databricks

Unity Catalog

Data Lake

Apache Spark

CI/CD

Automated testing

Environment separation

Production deployment

Secure APIs

MCP servers

Enterprise identity

RBAC

Secrets

Least-privilege

Full lifecycle

Upper-intermediate English

Education

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

Tools

GitLab CI/CD

Policy-as-code

Infrastructure-as-code

Configuration-driven platforms

Job description

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
• - Full lifecycle experience: architecture → development → deployment → production support
• - Upper-intermediate English level.

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.