EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are hiring a Lead Data DevOps Engineer with Azure to lead the design and optimization of data infrastructure and workflows on Azure. You will manage scalable data solutions and collaborate with data engineering and cross‑functional teams to ensure pipeline efficiency, system stability, and performance improvements. Join us to play a pivotal role in advancing our cloud data capabilities. Responsibilities Develop and manage data infrastructure using Azure services including Data Lake (ADLSv2), Databricks, Synapse, and Data Factory Collaborate with data engineering teams to build and enhance workflows and data pipelines Automate data processes with Python to improve reliability and operational efficiency Set up and maintain CI/CD pipelines with Jenkins, GitHub Actions, or other tools Work with cross‑functional teams to improve data system scalability, reliability, and performance Configure and maintain data tools like Apache Spark and Apache Kafka across cloud and on‑premises environments Monitor data platform performance and resolve any scalability or performance issues Troubleshoot and fix complex technical problems related to data platforms and pipelines Requirements At least 5 years of experience in Data Engineering or related fields Minimum 1 year of experience leading development teams Advanced Python programming expertise and batch processing workflow experience Strong SQL abilities for managing large datasets Extensive experience with Azure cloud services for data infrastructure Hands‑on experience with Infrastructure as Code tools such as Ansible, Terraform, or CloudFormation Proficiency in managing CI/CD pipelines with Jenkins, GitHub Actions, or similar Experience with data processing tools like Spark, Airflow, or R Advanced Linux OS knowledge including scripting and system administration Strong understanding of network protocols including TCP, UDP, ICMP, DHCP, DNS, and NAT Fluent English at B2+ level Nice to have Knowledge of other cloud platforms such as AWS or GCP Experience with Kubernetes container orchestration Familiarity with monitoring tools like Prometheus, Grafana, or Azure Monitor Understanding of Big Data technologies and analytics Experience implementing data governance and security in cloud environments We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr