01 Zakres zadań

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.

02 Wymagania

12 must-have · 1 język

Must-have

Ekspert

IaC

Zaawansowany

MS Fabric

Zaawansowany

Data architecture

Zaawansowany

Cloud security

Zaawansowany

IAM

Zaawansowany

Wymagane języki

Angielski

Zaawansowany

03 Profil

Key requirements:

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.

04 O firmie

Xebia

1-5k · Wrocław

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.

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