Senior Data Platform Engineer ID92538

AgileEngine; Rosarito; Hybrid; MXN 2,259,000 - 3,389,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based pay

Exciting projects with Fortune 500/top

Job summary

AgileEngine is seeking a Senior Data Platform Engineer to build secure, scalable data platform capabilities and automate governance controls.

You will architect, develop, and deploy data services, APIs, and tools across enterprise-grade environments, ensuring least-privilege access and strong security practices. This role offers growth through mentorship and impactful projects.

Qualifications

• Bachelor's in CS/Data Engineering/Software Eng/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.

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

5+ years software/data engineering

Python

SQL

Distributed processing

Data modeling

Modern data engineering frameworks

Upper-intermediate English

CI/CD

Security best practices

Enterprise-grade APIs

Least-privilege security

Education

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

Bachelor's + Master's/higher in STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

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.