Senior Data DevOps Engineer with Azure

About the job We are seeking a Senior Data DevOps Engineer to support and optimize our data platform within Azure environments. You will play a key role in deploying and maintaining scalable, secure data infrastructures while collaborating with various teams to enhance data workflows and CI/CD pipelines. Your expertise with Databricks and Azure tools will be essential to ensure smooth operations and continuous improvement of our data systems. Join us to contribute your skills in a dynamic environment focused on advanced data solutions. Feel free to work remotely from anywhere across Lithuania or connect with colleagues at our Vilnius and Kaunas offices. Responsibilities Deploy and configure data platforms in Databricks according to approved architecture and solutions ensuring production readiness and scalability Collaborate with cross-functional teams including data engineering, machine learning, platform, and quality assurance to design and maintain CI/CD pipelines and supporting tools for data workflows Diagnose and resolve issues related to build and deployment pipelines, data workflows, and production workloads including performing root cause analysis and implementing preventive solutions Develop and standardize configuration management practices covering infrastructure configuration, environment parameters, secrets management, and cluster policies to maintain consistency Produce and update technical documentation such as deployment guides, operational runbooks, pipeline logic, and platform configurations Implement governance and security best practices for data platform environments Support automation efforts to promote efficient environment deployment and pipeline operations Participate in continuous improvement initiatives for data platform infrastructure and workflows Requirements Experience of 3 or more years in roles such as Build Engineer, DevOps Engineer, or Platform Engineer supporting delivery and operations Proficiency in Databricks, Azure Data Factory, Azure DevOps, and general Microsoft Azure environment management Knowledge of DataOps practices, including automated deployment of data pipelines, environment promotion, and governance Experience in troubleshooting and resolving pipeline and production data workflow issues Strong communication and collaboration capabilities to work effectively with engineering, data, and operations teams English language proficiency at the B2 level or higher for participation in technical discussions and documentation preparation Ability to produce and maintain clear technical documentation and runbooks Nice to have Experience with MLOps including model deployment, monitoring, and lifecycle automation for machine learning workloads We offer Engineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years Advanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies World-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact Professional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices GenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys Entrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life Hybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas Other Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and more Salary range €3.8K-€5.6K gross, based on your experience and interview results. EPAM is a leading global provider of digital platform engineering and development services. For over 30 years, our team has helped leading brands navigate the waves of digital transformation, building solutions that help them stay competitive through constant market disruption.With offices in 55+ countries, EPAM has grown in Lithuania to over 1,300+ talented innovators in just 5 years. We foster creativity and unconventional ways of doing things, welcoming like-minded professionals to join us.