Senior Data Platform and Automation Engineer

About the role

We are looking for a self‑directed senior engineer to build secure, scalable data platform capabilities and governance automation. You will work with domain experts, product managers, governance teams and engineers to turn technical controls into reliable, reusable platform services.

Key responsibilities

• Architect secure, scalable data platform and governance automation capabilities, designing reusable, configuration‑driven patterns for governed data and platform services.
• Build automated controls for metadata, ownership, lineage, data quality, access and policy enforcement, implementing identity, authorization, least‑privilege access, auditability and credential management.
• Develop secure APIs, MCP tools and integrations for enterprise and AI‑enabled applications.
• Implement automated validation, testing, deployment and monitoring across environments, establishing observability for platform health, data quality, policy results and failures.
• Own production‑quality code, tests, documentation and operational guidance, partnering with domain experts, PMs, governance teams and engineers.
• Mentor other engineers and guide technical direction across teams.

Required profile

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering or related STEM field (or equivalent experience).
• 6+ years of software/data engineering experience.
• Strong experience with cloud data platforms, data catalogs, metadata, lineage, data quality and access controls.
• Experience with Databricks, Unity Catalog, Data Lake, Apache Spark or comparable technologies.
• Experience building secure APIs, MCP servers or tools for enterprise and AI‑enabled applications.

Required skills

• Python
• SQL
• Distributed processing and modern data engineering frameworks
• CI/CD, automated testing, environment separation and production deployment
• Enterprise identity, RBAC, service accounts, secrets management and least‑privilege security

What we offer

• Competitive USD salary
• 100% remote work (with optional coworking spaces across LATAM)
• Paid time off and national holidays according to local regulations
• Sick leave and refundable annual credit for perks
• Team‑building activities, coffee breaks, tech talks and birthday day off