Senior Cloud Enterprise Architect (Azure/Data Fabric/AI agents)

Luxoft Germany

Polska

On-site

PLN 240,000 - 320,000

Full time

9 days ago
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Job summary

Luxoft is building a cloud foundation platform for a major automotive OEM, delivering data mesh governance and AI-ready datasets. You will design secure, compliant cloud environments, implement governance services, and collaborate across teams to define requirements and standards.

The role requires strong Azure expertise, IaC, DevOps, and client-facing leadership, with hands-on coding in C#/Python, and experience delivering at scale in Agile.

Qualifications

  • BS degree in Computer Science or related field.
  • Solid experience with Microsoft Azure: IaaS, Azure AD, Governance, Functions, Automation, Monitor, Fabric, Foundry, Purview.
  • Experience architecting, designing, and deploying applications at scale using Agile; coding in C#, PowerShell, or Python.
  • Experience with IaC and CI/CD, Azure DevOps.
  • Strong communication and customer-facing leadership.

Responsibilities

  • Shape customer's architectural strategy to create a secure, scalable cloud environment.
  • Act as a trusted advisor to align with strategic goals across diverse stakeholders.
  • Design and adopt governance automation services leveraging serverless, containers, and microservices.
  • Lead technical teams and produce architecture decisions and docs.
  • Implement DevOps practices including infrastructure as code and automated deployment.

Skills

Infrastructure as a Service (IaaS)
Python
Microsoft Azure DevOps
Microsoft Azure Services
Microsoft Data Fabric
FabricIO
O365
AI Agents
Medallion architecture
Network
CI/CD

Education

BS degree in Computer Science

Tools

Azure ARM Templates
Terraform

Job description

Project description

Luxoft is an industry-leading software integrator and solution house for automotive OEMs and suppliers. There are millions of cars on the road today with solutions designed by DXC-Luxoft.You will work with one of the biggest car manufacturer to design and implement a cloud foundation platform for customer's workloads and business applications. You will design and adopt a secure and compliant cloud environment along with the implementation of governance foundation services to accelerate and streamline the onboarding of customer's solutions to the cloud.A Data Mesh platform built on top of it to exchange, integrate, and process data from multiple internal systems. The Data Mesh platform applies domain-oriented data ownership, treats data as a product, and uses federated governance, enabling controlled data usage to support future AI applications.AI Labs is a sub-product of the Data Mesh platform: an interface and services layer that gives teams self-serve access to the AI-ready datasets they need, without having to connect to each underlying source system individually.The solution is designed and built through iterative collaboration with the client's team and other stakeholders to identify, manage, and document requirements across data domains. Our approach is iterative, adaptive, and proactive: each team member owns a specific domain area and its deliverables, and coordinates closely with that domain's data owners and downstream consumers.

Your Skills And Experiences
  • BS degree in Computer Science or related technical field or equivalent practical experience
  • Solid experience with Microsoft Azure: IaaS, Azure AD, Azure Governance, Azure Functions, Azure Automation, Azure Monitor, Fabric, Foundry, Purview etc.
  • Experience in architecting, designing, and deployment of application software at scale, using Agile methodologies, and with recent coding experience in two or more of the following languages: C#, PowerShell, Python
  • Experience working with customers face to face, leading and driving discussions with senior personnel regarding trade-offs, best practices, project management, and risk mitigation
  • Deep understanding and experience with IaC principles and tools like Azure ARM Templates (Terraform is a plus)
  • Solid understanding of DevOps principles and experience with configuring and running CI/CD platforms such as Azure DevOps
  • Good understanding of networking concepts (TCP/IP, routing, etc.)
  • Proactive thinking, excellent problem-solving, and analytical skills
  • Experience with IT compliance and risk management requirements (eg., security, privacy, etc.)
  • Strong verbal and written communication skills and ability to lead effectively across organizations
  • Fluent in EnglishPreferred Skills- Strong coding skills (e.g. C#, PowerShell)- Experience with MS Fabric, MS Foundry, Purview- Strong experience in cloud security and compliance- Familiarity with SIEM and SOAR solutions- Deep understanding of authorization protocols like OAuth, OpenID, etc.
Responsibilities
  • - Shape customer's architectural strategy to create a secure, scalable, and compliant cloud environment- Act as a trusted advisor for the customer to ensure alignment with strategic goals, advocate customer's interests when working in a diverse team of various stakeholders, and promote cutting-edge cloud technologies.- Design and adopt governance automation services by leveraging new technology paradigms (e.g. serverless, containers, microservices) and cloud best practices- Work as a technical leader alongside customer business, development, and infrastructure teams- Producing technical documentation and architecture decision records.- Implement DevOps practices such as infrastructure as code, continuous integration, and automated deployment- Coordination of team resources to solve problems and technical issues- Work in Agile (Scrum, Kanban), defining, estimating, and delivering stories

SKILLS
Must have
  • Infrastructure as a Service (IaaS),Python,Microsoft Azure DevOps,Microsoft Azure Services,Microsoft Data Fabric, FabricIO, O365 agentsexperience with building AI Agents,medallion architecture,Network,CI/CD

Nice to have

Proven experience of working with MS Data Fabric,MS Data Fabric DP-600/700 certifications,Azure Architect certifications,AI Landing zones,Python/C# proficiency, Databricks,self-driven/self-motivated.

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