Cloud Solutions Architect, Azure Data & AI Solutions

What you'll do

• Serve as a technical advisor to help customers and partners realize business value from Azure and Databricks investments.
• Lead architecture reviews, technical strategy discussions, proofs of concept, and production deployments for AI and data solutions.
• Identify and resolve technical blockers that impact deployment, scalability, and customer success outcomes.
• Design and optimize enterprise-scale architectures leveraging Databricks, Azure Data Services, and AI services.
• Develop reusable intellectual property, reference architectures, and deployment accelerators to improve scalability.
• Guide customers in implementing best practices for security, governance, reliability, and operational excellence.
• Share customer and partner insights with Product and Engineering teams to influence roadmap priorities.

What we're looking for

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or a related field.
• 4+ years of experience in cloud/infrastructure technologies, IT consulting, systems administration, network operations, software development, or architecture.
• Deep expertise in Databricks and modern Data & AI platforms, including Azure Databricks, Microsoft Fabric, and Azure AI Services (preferred).
• Relevant certifications such as Databricks Certified Data Engineer Professional or Microsoft Certified: Azure Databricks Data Engineer Associate (preferred).
• Experience building and modernizing data platforms, including data lakes, data warehouses, and streaming architectures (preferred).
• Demonstrated success in customer-facing architecture, consulting, technical sales, or solution delivery roles (preferred).
• Solid understanding of cloud architecture, security, networking, governance, and performance optimization (preferred).