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.This position offers a hybrid work setup with flexibility to work from Malaga or Madrid, with occasional office visits required. ResponsibilitiesArchitect and deploy robust data platforms using Databricks, focusing on optimal performance and securityCreate solutions that are cloud-agnostic across AWS, Azure, and GCP to ensure system flexibility and resilienceDesign and implement comprehensive data pipelines involving data lakes, warehouses, and streaming technologiesUtilize Databricks SQL, Delta Lake, MLflow, and Spark for data interaction and performance enhancementsCollaborate with various teams to implement and maintain workflows based on Databricks best practicesDevelop CI/CD pipelines tailored for data platform deployment and testingSet up and manage frameworks for monitoring, logging, and alerting to ensure infrastructure healthOptimize compute and storage resources to balance cost-efficiency and performanceTroubleshoot Databricks and Spark performance issuesMentor team members on effective cluster management and resource allocation in Databricks environmentsMaintain compliance and security standards throughout platform operationsDrive adoption of advanced Databricks capabilities like Photon and Graviton instancesRegularly refine architectures to align with evolving business and technology requirements RequirementsExtensive experience in Databricks, Apache Spark, and distributed data processing systemsStrong programming skills in Python, Scala, SQLProficiency in data engineering services on AWS (S3, IAM, Lambda), Azure, GCPExpertise in data architecture and ETL workflows, focusing on data lakes and lakehousesHands-on experience with Terraform, CloudFormation, and CI/CD toolsFamiliarity with monitoring tools and observability frameworks for large-scale data environmentsSolid communication skills in Spanish (at least C1) Nice to haveCertifications in Databricks, AWS, Azure, GCPKnowledge of Kubernetes and containerized deployments for data pipelinesExperience with real-time data streaming frameworks and governance tools We offerPrivate health insuranceEPAM Employees Stock Purchase Plan100% paid sick leaveReferral ProgramProfessional certificationLanguage courses EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously. Why Join EPAMWORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

Senior Data Platform Engineer (Databricks)