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We are looking for a seasoned Senior Data Platform Engineer to join EPAM, a company at the forefront of shaping digital solutions for Fortune 1000 businesses.

As a critical part of our team, the ideal candidate will bring deep expertise in Databricks and experience across multi-cloud environments. This role will focus on building, optimizing, and maintaining innovative, high-performance data platforms that enable powerful data insights and drive meaningful business transformations.

Responsibilities

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- Architect and deploy robust data platforms using Databricks, focusing on optimal performance and security
- Create solutions that are cloud-agnostic across AWS, Azure, and GCP to ensure system flexibility and resilience
- Design and implement comprehensive data pipelines involving data lakes,



warehouses, and streaming technologies
- Utilize Databricks SQL, Delta Lake, MLflow, and Spark for data interaction and performance enhancements
- Collaborate with various teams to implement and maintain workflows based on Databricks best practices
- Develop CI/CD pipelines tailored for data platform deployment and testing
- Set up and manage frameworks for monitoring, logging, and alerting to ensure infrastructure health
- Optimize compute and storage resources to balance cost-efficiency and performance
- Troubleshoot Databricks and Spark performance issues
- Mentor team members on effective cluster management and resource allocation in Databricks environments
- Maintain compliance and security standards throughout platform operations
- Drive adoption of advanced Databricks capabilities like Photon and Graviton instances
- Regularly refine architectures to align with evolving business a

📌 Senior Data Platform Engineer (Madrid)
🏢 Epam Systems
📍 Madrid