Azure Data Platform Engineer
Primary stack
Nice to have's
Job description
About the Position
Join Xebia as an Azure Data Platform Engineer to design and build scalable data-driven solutions in the CEE region.
Responsibilities
- Participating in discovery workshops and technical assessments of the existing data platform environment.
- Defining platform requirements and contributing to migration strategy and roadmap planning.
- Collaborating with Data Engineers, Architects, and business stakeholders to design target-state architecture.
- Supporting migration of data workloads, pipelines, and platform services to Azure, Databricks, and/or Microsoft Fabric.
- Building and managing cloud infrastructure using Infrastructure as Code (IaC) practices with Terraform.
- Designing, deploying, and maintaining Kubernetes-based platform environments.
- Developing and maintaining CI/CD pipelines for automated provisioning, deployment, and operations.
- Implementing security, governance, identity management, and access control standards.
- Establishing monitoring, observability, alerting, and operational processes.
- Optimizing reliability, scalability, performance, and cost efficiency of the platform.
- Producing technical documentation, standards, and operational procedures.
- Providing technical leadership and guidance to engineering teams throughout the migration journey.
Requirements
- Strong hands-on experience with Microsoft Azure.
- Experience with Databricks and/or Microsoft Fabric.
- Good understanding of modern data platform architectures and data engineering ecosystems.
- Strong experience with Terraform and Infrastructure as Code (IaC) practices.
- Experience building and managing cloud infrastructure in enterprise environments.
- Hands-on experience with Kubernetes administration and platform operations.
- Strong Python development skills with experience building automation tools and operational utilities.
- Experience implementing and maintaining CI/CD pipelines and deployment automation.
- Solid understanding of platform engineering and DevOps best practices.
- Knowledge of cloud security principles, governance frameworks, and compliance requirements.
- Experience implementing identity and access management, security controls, auditing, and access governance.
- Understanding of data platform security, operational governance, and reliability best practices.
- Experience collaborating with Data Engineers, Architects, and cross-functional stakeholders.
- Strong communication, documentation, and stakeholder management skills.
Nice to Have
- Hands-on experience delivering Microsoft Fabric implementations.
- Experience with large-scale data platform modernization or migration programs.
- Databricks administration, monitoring, performance tuning, and optimization.
- Experience with observability, monitoring, and alerting platforms.
- Familiarity with data governance tools and frameworks.
- Experience with dbt, Apache Airflow, or other modern data platform technologies.
- Exposure to FinOps practices and cloud cost optimization initiatives.
- Experience supporting platform adoption and engineering enablement across multiple teams.
We Offer
- Opportunity to work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake.
- A chance to be part of a global team with a strong focus on engineering excellence and a people-first culture.
- Continuous growth and knowledge sharing opportunities.
About the Company
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
Work from the European Union region and a work permit are required.
© Xebia. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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