Azure Platform Engineer

Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today—helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster. Xebia operates as a single global team, designed for speed, scale, and impact, bringing together deep human expertise and the power of AI in everything we deliver. Our flexible delivery model combines client-facing teams in the US and Europe with nearshore capacity across Poland and Latin America, as well as a large-scale offshore hub in India working as a single, integrated network. The result is a sophisticated hybrid model that combines local expertise with global reach. For our clients, this means faster time-to-value, easier access to highly specialized digital and AI talent, and the flexibility to scale solutions at the speed of business. With round-the-clock delivery, built-in scalability, cultural alignment, and a strong focus on attracting and retaining the best global talent, we help global organizations build, scale, and innovate with confidence.

• Strong hands-on experience with Microsoft Azure.
• Experience with Databricks and/or Microsoft Fabric.
• Understanding of modern data platform architectures and data engineering ecosystems.
• Strong Terraform and Infrastructure as Code experience.
• Experience managing enterprise cloud infrastructure and Kubernetes platform operations.
• Strong Python development skills for automation tools and operational utilities.
• Experience with CI/CD pipelines, deployment automation, platform engineering, and DevOps practices.
• Knowledge of cloud security, governance, compliance, identity management, access controls, and auditing.
• Strong communication, documentation, and stakeholder management skills.
• Permission to work from the European Union region is required.

Nice to have:

• Microsoft Fabric implementation experience.
• Experience with large-scale data platform modernization or migration programs.
• Databricks administration, monitoring, performance tuning, and optimization.
• Experience with observability, monitoring, alerting, data governance, dbt, Apache Airflow, and FinOps practices.
• Experience supporting platform adoption and engineering enablement across multiple teams.

• Participate in discovery workshops and technical assessments of existing data platform environments.
• Define platform requirements and contribute to migration strategy and roadmap planning.
• Design target-state architecture with Data Engineers, Architects, and business stakeholders.
• Support migration of data workloads, pipelines, and platform services to Azure, Databricks, and Microsoft Fabric.
• Build and manage cloud infrastructure using Terraform and Infrastructure as Code practices.
• Design, deploy, and maintain Kubernetes-based platform environments.
• Develop CI/CD pipelines for automated provisioning, deployment, and operations.
• Implement security, governance, identity management, access control, monitoring, observability, and alerting standards.
• Optimize platform reliability, scalability, performance, and cost efficiency.
• Produce technical documentation and provide technical leadership during migration.

Permission to work from the European Union region is required.