Azure GBB Solution Engineer - Cloud, AI + Data

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As an Azure Global Black Belt (GBB) Cloud & AI Data Solution Engineer, you are a senior technical leader with deep technical expertise within our enterprise sales organization, working with our most important customers. You will own securing the technical decision to help customers realize the digital transformation through cloud computing. You will proactively identify and remove technical roadblocks to accelerate customer progress and solution adoption. You’ll guide customers through secure, scalable solution design, influence technical decisions, and accelerate Data and Analytics adoption, able to identify projects, develop and share repeatable IPs (e.g., reference architectures, solution accelerators) to drive business and technical decisions. You will build and maintain relationships with customers, influence long-term strategic direction and act as a trusted advisor, driving engagement at the CXO level with technology decision makers.

• Bachelor's degree in Computer Science, Information Technology, Business Administration,

• OR related field AND 3+ years of technology-related sales or account management experience;

• OR 5+ years of technology-related sales or account management experience

• 5-7 years experience leading the sales of large cloud engagements, especially those involving Cloud & AI Data projects to large/global enterprise customers

• Complex Deals Support: Engage deeply with customers to understand their complex technical needs and challenges and ensure that solutions meet their requirements and accelerate pipeline.
• Be an expert on Cloud & AI Data technologies based on Analytics, your area of specialization, including:
• Expertise in Azure Analytics (Fabric, Azure Databricks, Purview…) and competitor platforms (BigQuery, Redshift, Snowflake), specializing in data lake, data warehouse, real-time analytics, reporting, and integrated data security & governance.
• Solid understanding of AI and Databases (e.g, SQL DB, Cosmos DB, PostgreSQL, MySQL).
• Advising C-Suite in Customers: Develop and maintain a robust relationship with technical executives in top customers (e.g., CDO, CIO, CISO, CTO), gaining their mindshare and trust in Azure platform.
• Remove Customer and Product Technical Roadblocks: Identify and resolve technical roadblocks that may hinder customer progress, enabling the account team to accelerate the pipeline and convert deals. When product-related issues arise, engage engineering through the Go-To-Market team to clarify and address them. Continue supporting both the customer and the account team throughout the resolution process.
• Win Over Competitors & Secure Technical Decisions: Deep technical compete expert on the assigned specialization area against major Public Cloud Hyper Scalers competitors by removing technical roadblocks and leading w/MSFT product differentiators to demonstrate superior technical solutions. Build win back or surround competitive strategies, aligned with the customer's goals and objectives.
• Incubation to Mainstream: Identify tech scenarios and leverage/build packageable solution accelerators, reference architectures, demos, and automation frameworks to bring additional value across customers and regions.
• Engineering Feedback Loop: Working with Go-To-Market team on outbound motion through product capabilities and creating incubation execution plan and inbound motion through customer feedback on product capabilities to influence engineering product planning, roadmap, and development.
• Knowledge Transfer to Technical Roles: Work with enablement team as Subject Matter Expert and as a scale mechanism to skill local field solution engineers and SE managers through structured knowledge sharing, including technical briefings and readiness sessions.
• Thought Leadership: Be a leading expert within your area of specialization not limited to Microsoft products by speaking engagements, publishing blogs, videos, and walkthroughs that showcase innovative customer solutions, technical patterns IP, and best practices that drive scalable adoption.