Data Solution Engineer Global Black Belt

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Microsoft’s Commercial Solution Area (CSA) sets the sales strategy, leads technical sales, and operations as a hub for the Commercial Solution Areas and Support Services that power the Microsoft Cloud. Data & Analytics is a growth opportunity for Microsoft Azure, as well as its partners and customers. It includes a rich portfolio of products providing unified Data Platform supporting customers’ Data needs in the era and AI.

As a Data Solution Engineer Global Black Belt you are a 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.

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.

Required/Minimum Qualifications

• Master's Degree in Computer Science, Information Technology, Business Administration or related field AND 4+ years technology-related sales or account management experience;
  • OR Bachelor's Degree in Computer Science, Information Technology, Business Administration or related field AND 6+ years technology-related sales or account management experience.
  • OR 7+ years technology-related sales or account management experience
  • OR equivalent experience.
• 4+ years experience leading the sales of large cloud engagements, especially those involving Cloud & AI Data projects to large/global enterprise customers

Solution Engineering IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until August 27, 2025.

• 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 your area of specialization, including:

If your focus is Databases:

• Expertise in Microsoft Azure Databases (SQL DB, Cosmos DB, PostgreSQL, MySQL) with experience in Data migration and modernization, and building AI-powered applications.

If your focus is Analytics:

• 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.
• 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.

Other Responsibilties:

• Embody our culture and values