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.

#LI-DNI

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 and observability frameworks in large-scale data environments
- Strong analytical and problem-solving capabilities
- Excellent communication and collaboration skills
- Ability to self-manage in a dynamic work environment

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 over 52,650 EPAMers in more than 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 and Madrid 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.