Cloud Solution Architect

vor 6 Monaten

Zurich, Schweiz Microsoft Vollzeit

With over 17,000 employees worldwide, the Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide a differentiated and connected customer experience.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

**Responsibilities**:

- Understand customers’ overall data estate Business and IT priorities and success measures to design Data & AI solutions that drive business value.
- Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
- Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements
- Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community while educating customers on Azure platform

**Qualifications**:
**Required/Minimum Qualifications**:
**Bachelor's Degree** in Computer Science, Information Technology, Engineering, Business, or related field
** AND 4+ years** of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

**OR equivalent experience.**

**Additional or Preferred Qualifications**:
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

OR

Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years of experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting

OR

4+ years of experience working in a customer-facing role (e.g., internal and/or external)

4+ years of experience working on technical projects.

Technical Qualification:

- Deep domain expertise in one of the Data-specific areas, deployments and migrations to the cloud, Open-source database deployments and migrations, Cloud Scale Analytics, Data Governance, etc. OR hands-on experience working with the respective products at the expert level.
- Experience creating Data & AI Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments
- The technical aptitude and experience to learn new technologies and understand market and relevant cloud trends.
- Competitive Landscape: Knowledge of key Data & AI platforms such as AWS, GCP, Snowflake, etc.
- Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs
- Software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Azure Developer Services, GitHub) and container orchestration systems (i.e., Docker, Kubernetes, Cloud Foundry, Azure Kubernetes Service, GitHub).

Professional Qualification:
Communication:

- Relationship Building: Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.
- Good understanding of key Data & AI scenarios that are driving digital transformation in key industries such as Financial services, Retail, Manufacturing, Healthcare etc.
- Problem Solving: Ability to solve customer’s challenges through various cloud technologies
- Collaboration and Communication: Acknowledged for driving decisions collaboratively, ability to communicate solutions concepts effectively with business, data engineers/analysts and technical audiences, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills. Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT Management, Data Officers and Leads, Engineers)

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