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 adecuado 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.

Responsibilities 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 and technology requirements Requirements Extensive experience in Databricks, Apache Spark, and distributed data processing systems

Strong programming skills in Python, Scala, SQL





Proficiency in data engineering services on AWS (S3, IAM, Lambda), Azure, GCP

Expertise in data architecture and ETL workflows, focusing on data lakes and lakehouses

Hands-on experience with Terraform, CloudFormation, and CI/CD tools

Familiarity with monitoring tools and observability frameworks for large-scale data environments

Solid communication skills in Spanish (at least C1) Nice to have Certifications in Databricks, AWS, Azure, GCP

Knowledge of Kubernetes and containerized deployments for data pipelines

Experience with real-time data streaming frameworks and governance tools We offer Private health insurance

EPAM Employees Stock Purchase Plan

100% paid sick leave

Referral Program

Professional certification

Language 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 EPAM

WORK 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) (Madrid)
🏢 Epam Systems
📍 Madrid