Senior Data Platform Engineer ID92538

AgileEngine, LLC.; Ciudad de México; Híbrido; MXN 2.172.000 - 2.896.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data Platform Engineer to design secure, scalable data platform capabilities and automate governance controls. You will build automated metadata, lineage, data quality, access controls, and secure APIs for enterprise/AI-enabled apps.

Ideal candidates have 5+ years in data engineering, strong Python/SQL skills, and experience with cloud data platforms and data governance tooling. Flexible schedule with remote and office options is offered.

Formación

• Bachelor's in CS/Data/Software engineering or related STEM field.
• 5+ years of software/data engineering experience.
• 5+ years with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality, access controls.
• Experience with Databricks, Unity Catalog, Data Lake, or Apache Spark.
• CI/CD, automated testing, and production deployment experience.
• Experience building secure APIs, MCP servers, or tools for enterprise/AI-enabled apps.
• Enterprise identity, RBAC, secrets, and least-privilege security.

Responsabilidades

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

Conocimientos

5+ years software/data engineering

Python

SQL

Distributed processing

Data modeling

Modern data engineering

Educación

Bachelor's in CS/Data Engineering/Software Eng

Bachelor's + Master's in STEM

Herramientas

Databricks

Unity Catalog

Data Lake

Apache Spark

Descripción del empleo

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.