Senior Data Platform Engineer ID92538

AgileEngine, LLC.; Monterrey; Híbrido; MXN 2 172 000 - 3 258 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive pay

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC. is seeking a Senior Data Platform Engineer in Monterrey to build secure, scalable data platform capabilities and automate governance controls. Strong Python/SQL and distributed processing experience are required, along with expertise in Databricks and data lake ecosystems.

You will design automated controls for metadata, lineage, data quality, access, and policy enforcement, and collaborate across governance teams to ensure enterprise-grade security and reliability.

Qualificações

• Bachelor’s in CS/Data Eng/Software Eng or related STEM field.
• 5+ years software/data engineering experience or equivalent.
• 5+ years with Python, SQL, distributed processing, data modeling, modern data eng frameworks.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls.
• Databricks, Unity Catalog, Data Lake, Apache Spark or comparable.

Responsabilidades

• 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.

Conhecimentos

Python

SQL

Distributed processing

Data modeling

Data governance

CI/CD

Automated testing

Secure APIs

RBAC security

Formação académica

Bachelor's in CS/Data Engineering/Software Engineering

Bachelor's + Master's in STEM

Ferramentas

Databricks

Unity Catalog

Data Lake

Apache Spark

GitLab CI/CD

Descrição da oferta de emprego

Monterrey, Mexico | Posted on 10/08/2026

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.