Senior Data Platform Engineer Id92538

Agileengine; Risaralda; Hybrid; COP 384,813,000 - 577,219,000; Full time

Benefits offered by this job

Professional growth

Competitive 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 architect, implement, and operate end-to-end data pipelines and APIs, focusing on metadata, lineage, data quality, access controls, and observability across environments.

Qualifications

• Bachelor's in CS/Data Eng/Software Eng or STEM equivalent.
• 5+ years software/data engineering experience.
• 5+ years with Python, SQL, distributed processing and data modeling.
• Strong cloud data platforms, data catalogs, metadata, lineage and data quality.
• Experience with Databricks, Unity Catalog, Data Lake or Apache Spark.
• CI/CD, automated testing, environment separation, production deployment.
• Experience building secure APIs and enterprise-grade tools.
• Enterprise identity, RBAC, secrets and least-privilege security.
• Full lifecycle from architecture to production support.
• Upper-intermediate English level.

Responsibilities

• Architect secure, scalable data platform and governance automation.
• Build automated controls for metadata, ownership, lineage, data quality and access.
• Develop secure APIs, MCP tools and enterprise integrations.
• Design reusable, configuration-driven patterns for data services.
• Implement identity, authz and credential management.
• Automate validation, testing, deployment and monitoring across environments.
• Partner with domain experts and engineers on technical controls.
• Establish observability for platform health and data quality.
• Own production code, tests, docs and operational guidance.
• Mentor engineers and guide technical direction across teams.

Skills

Python

SQL

distributed processing

data modeling

modern data engineering frameworks

upper-intermediate English

Full lifecycle experience

enterprise security concepts

Education

Bachelor's in CS/Data Eng/Software Eng

Master's or higher in STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

GitLab CI/CD

MCP servers

CI/CD tooling

Job description

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.

Requirements

• 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