Monterrey, Mexico | Posted on 10/08/2026Why join usIf 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 roleWe 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 securityNICE 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 environmentsWHAT 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 teamsPERKS 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: Adaptable schedule with remote and office options.
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📌 Senior Data Platform Engineer Id92538 (Monterrey)
🏢 Agileengine
📍 Monterrey