About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Platform and Automation Engineer based in Brazil.
Responsibilities
- Architect and develop secure, scalable data platform and governance automation capabilities using reusable, configuration-driven patterns.
- Build automated controls covering metadata, data ownership, lineage, data quality, access management, and policy enforcement.
- Implement enterprise security capabilities including identity management, authorization, role-based access control, least-privilege principles, auditability, service accounts, and credential management.
- Develop secure APIs, MCP tools, and integrations supporting enterprise and AI-enabled applications.
- Design and maintain automated validation, testing, deployment, and monitoring processes across development and production environments.
- Establish strong observability for platform health, data quality, governance policies, system failures, and operational performance.
- Own production-quality code, automated tests, technical documentation, and operational guidance throughout the full software and data engineering lifecycle.
- Collaborate with domain experts, product managers, governance teams, and engineers to translate technical controls and business requirements into reliable platform services.
- Contribute to architecture decisions, technical standards, and continuous improvements across engineering teams.
- Mentor other engineers and provide technical guidance to help strengthen engineering practices and delivery quality.
- Support production environments and troubleshoot issues across architecture, development, deployment, and ongoing operations.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related STEM field, or a Bachelor's degree combined with a Master's or higher qualification in STEM.
- 6+ years of experience in software engineering, data engineering, or equivalent demonstrated technical expertise.
- 6+ years of hands-on experience with Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.
- Strong experience with cloud data platforms and data governance capabilities, including data catalogs, metadata, lineage, data quality, and access controls.
- Practical experience with Databricks, Unity Catalog, Data Lake, Apache Spark, or comparable technologies.
- Experience implementing CI/CD pipelines, automated testing, environment separation, and production deployments.
- Experience developing secure APIs, MCP servers, or tools for enterprise and AI-enabled applications.
- Strong understanding of enterprise identity, RBAC, service accounts, secrets management, authorization, and least-privilege security.
- Demonstrated full-lifecycle engineering experience covering architecture, development, deployment, production support, and operational improvement.
- Experience with GitLab CI/CD or comparable tooling is a plus.
- Knowledge of policy-as-code, infrastructure-as-code, and configuration-driven platform approaches is desirable.
- Experience building data marketplaces, governance platforms, internal developer platforms, or similar enterprise capabilities is advantageous.
- Familiarity with privacy, security, regulatory, and AI governance controls is beneficial, particularly in regulated or risk-sensitive environments.
- Strong problem-solving, communication, collaboration, and mentoring skills, with the autonomy to operate effectively in a remote environment.
Conditions
- Competitive salary paid in USD.
- 100% remote work, with the flexibility to work from anywhere in the region.
- Access to coworking spaces across LATAM for networking and collaboration.
- Paid time off according to applicable local regulations, while maintaining full salary.
- Paid national holidays to support cultural and personal celebrations.
- Sick leave to allow time for recovery and well-being.
- Refundable annual credit that can be used toward selected lifestyle and work-life balance benefits.
- Team-building activities, including coffee breaks, technical talks, games, and social gatherings.
- Birthday week day off.
- Support from a dedicated People Care team focused on employee well-being and day-to-day support.
- An autonomous, collaborative environment with open communication and respect for diversity.
- Opportunities to work on complex, business-critical technology initiatives involving data, cloud platforms, automation, governance, and AI.
- Opportunities to learn, share knowledge, mentor colleagues, and contribute to technical direction.