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Cloud Solution Architect (CSA) – Azure Data & Analyticswho specializes in Azure Data, Analytics & AI services and solutions. As a CSA, you'll be at the forefront of driving our customers' transformation on Microsoft Azure by:
Required/Minimum Qualifications
Additional or Preferred Qualifications
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting
o OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting
o OR equivalent experience.
4+ years experience working in a customer-facing role (e.g., internal and/or external).
4+ years experience working on technical projects.
o Landscape: Knowledge of key Data & Analytics platforms such as AWS, GCP, Snowflake, etc.
o 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)
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until July 15, 2024.
• Understand customers' overall data estate, business priorities, and IT success measures. Innovate with AI infused analytic solutions that drive business value.
• Prioritize Customer Satisfaction: Foster positive relationships and become a trusted advisor.
• Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.
• Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
• Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
• Architect modern Data & Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create modernized Data & Analytics platform solutions with infused AI, lead Proof of concepts (POCs) and Minimal Viable Products (MVPs), and ensure long-term technical viability.
• Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and drive product improvements.
• Continuous Learning: Stay updated on market trends, collaborate with the Data, Analytics and AI technical community, and educate customers about the Azure platform.
• Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success.
• Embody our
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