Senior Data DevOps Engineer with Azure

We are in search of a highly skilled Senior Data DevOps Engineer with expertise in Azure to join our team and support the implementation, delivery, and optimization of our data platforms. You will be responsible for deploying scalable solutions, streamlining workflows, and enabling data-driven processes by collaborating with cross-functional teams.
Responsibilities
Deploy and configure the Data Platform in Databricks based on the approved architecture and solution designs, ensuring environments are production-ready, secure, and scalable
Work closely with cross-functional teams (Data Engineering, ML, Platform, QA) to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and services
Diagnose and resolve issues in build/deploy pipelines, data workflows, and production workloads; participate in root cause analysis and implement preventive fixes
Develop, standardize, and maintain configuration management practices (infrastructure configuration, environment parameters, secrets, cluster policies) to ensure consistency across environments
Produce and maintain clear technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configuration
Requirements
3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role supporting delivery and operations
Strong hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure in general — including DataOps practices such as automated data pipeline deployment, environment promotion, and governance
Experience with MLOps (model deployment, monitoring, lifecycle automation for ML workloads) is considered an advantage
Strong communication and collaboration skills, with the ability to work effectively across engineering, data, and operations teams
English at B2 level or higher, ability to participate in technical discussions and produce documentation in English
We offer
CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
Diversity of tasks and projects
Assessment center for objective review of competency level
Personal development plan
Mentoring programs and leadership development
Certification and professional development support
Access to learning platforms including more than 2,500 internal courses
English courses taught by certified teachers
CORPORATE BENEFITS
Extra leave days
Referral bonuses
COMPENSATION PACKAGE
Competitive compensation paid in USD
Regular salary and performance reviews
MEDICAL & HEALTHCARE
Private health insurance
Well-being events
WORKING ENVIRONMENT
Recreation areas and kitchens
Tea, coffee and snacks
Sports equipment and game consoles
IT Equipment
Microsoft’s Software Assurance Home Use Program (HUP)
Please note that our Talent Attraction Team reviews applications and CVs submitted in English.
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

Work arrangement
No