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.
Responsibilities
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Deploy and configure data platforms in Databricks according to approved architecture and solutions ensuring production readiness and scalability
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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
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Diagnose and resolve issues related to build and deployment pipelines, data workflows, and production workloads including performing root cause analysis and implementing preventive solutions
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Develop and standardize configuration management practices covering infrastructure configuration, environment parameters, secrets management, and cluster policies to maintain consistency
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Produce and update technical documentation such as deployment guides, operational runbooks, pipeline logic, and platform configurations
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Implement governance and security best practices for data platform environments
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Support automation efforts to promote efficient environment deployment and pipeline operations
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Participate in continuous improvement initiatives for data platform infrastructure and workflows
Requirements
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Experience of 3 or more years in roles such as Build Engineer, DevOps Engineer, or Platform Engineer supporting delivery and operations
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Proficiency in Databricks, Azure Data Factory, Azure DevOps, and general Microsoft Azure environment management
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Knowledge of DataOps practices, including automated deployment of data pipelines, environment promotion, and governance
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Experience in troubleshooting and resolving pipeline and production data workflow issues
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Strong communication and collaboration capabilities to work effectively with engineering, data, and operations teams
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English language proficiency at the B2 level or higher for participation in technical discussions and documentation preparation
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Ability to produce and maintain clear technical documentation and runbooks
Nice to have
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Experience with MLOps including model deployment, monitoring, and lifecycle automation for machine learning workloads
We offer
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CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
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Diversity of tasks and projects
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Assessment center for objective review of competency level
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Personal development plan
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Mentoring programs and leadership development
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Certification and professional development support
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Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
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English courses taught by certified teachers
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CORPORATE BENEFITS
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Extra leave days
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Referral bonuses
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COMPENSATION PACKAGE
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Competitive compensation paid in USD
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Regular salary and performance reviews
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MEDICAL & HEALTHCARE
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Private health insurance
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Well-being events
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WORKING ENVIRONMENT
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Recreation areas and kitchens
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Tea, coffee, and snacks
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Well-being events
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Sports equipment and game consoles
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IT Equipment
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Microsoft's Software Assurance Home Use Program (HUP)
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.