Azure Data Platform Engineer

Posted 2 Days Ago
Be an Early Applicant
3 Locations
Remote
Mid level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
Design, build, and operate Azure-based data platform environments and lead migrations to Azure/Databricks/Microsoft Fabric. Implement IaC (Terraform), Kubernetes platform operations, CI/CD automation, security and governance controls, monitoring/observability, and cost/performance optimizations. Collaborate with data engineers, architects, and stakeholders and produce technical documentation while providing technical leadership during the migration.
Summary Generated by Built In

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.  

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. 


You will be:
  • Participating in discovery workshops and technical assessments of the existing data platform environment.
  • Defining platform requirements and contribute 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.
Your profile:
  • 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.

Work from the European Union region and a work permit are required.

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.
Recruitment Process:

CV review – HR call – InterviewClient Interview – Decision


Skills Required

  • 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 for automation and operational tooling.
  • 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.
  • Work from the European Union region and a valid work permit are required.
  • 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.

Xebia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.

  • Healthcare Strength U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
  • Leave & Time Off Breadth Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
  • Retirement Support A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.

Xebia Insights

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The Company
HQ: Atlanta
3,254 Employees
Year Founded: 2001

What We Do

We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]

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