**Description:** ---------------- From our corporate group, we are seeking specialized talent to join strategic projects within top-tier corporate environments. We are currently looking for a **Data Platform Engineer**, with advanced English (minimum B2), and solid experience in data platform engineering, automation, and management of environments **in Azure Databricks with Unity Catalog.** This role is not focused on developing pipelines or models, but rather on the operation, standardization, and continuous improvement of the data platform—ensuring scalable, reliable, and secure environments. **Key Responsibilities:** Platform Engineering & Operations * Review and improve implementation patterns for jobs, pipelines, and platform components. * Identify and resolve bottlenecks related to scalability, reliability, and maintainability. * Design, enhance, and standardize platform components, workspace configurations, and environment structures. * Continuously monitor platform health, performance, and stability. Unity Catalog Management * Maintain consistent and secure Unity Catalog configurations across multiple environments. * Manage governance structures (catalogs, schemas, permissions, service principals). * Ensure the access model is efficient and developer-friendly. Performance & Cost Optimization * Analyze and optimize compute configurations, autoscaling, and workload patterns. * Evaluate Spark job performance, Delta Lake usage, and storage design. * Apply optimization best practices (partitioning, Z-ordering, caching, etc.). Automation & Infrastructure as Code * Develop and maintain environment automation using Databricks Asset Bundles (DABs) and Terraform. * Guarantee reproducible, versioned environments aligned with CI/CD principles. * Minimize manual configurations, promoting automation. Documentation & Knowledge Sharing * Document platform patterns, operational runbooks, and best practices. * Provide support and guidance to engineers and analysts on using the Databricks platform. **Requirements:** --------------- * 3–5+ years in Platform/Data Engineering with solid experience in Azure Databricks. * Practical knowledge of Unity Catalog (access control, governance, lineage, workspaces). * Experience with PySpark and SQL, including optimization (partitioning, Z-ordering, caching…). * Experience with CI/CD, Git, and Infrastructure as Code (Terraform). * Focus on automation and platform best practices (avoiding manual configurations). * Minimum English level B2. **Desirable Qualifications:** * Experience in MLOps. * Experience in multi-cloud environments. * Knowledge of cloud platform cost and performance optimization. **If you meet the requirements and are interested in joining our team, don’t hesitate—apply now... we’re waiting for you!!** Our commitment is to foster workplaces where people are treated with respect and dignity, always supporting the professional development of all team members. We guarantee equal opportunities throughout selection, training, and promotion processes, providing a work environment free from any form of discrimination based on gender, age, disability, sexual orientation, gender identity or expression, marital status, or personal or social circumstances. This opportunity is open to all individuals meeting the position’s requirements. Candidates holding a disability certificate of 33% or higher, as defined by the General Law on the Rights of Persons with Disabilities (LGD), will be especially valued.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
