Azure GBB Solution Engineer - Cloud, AI + Data at Microsoft

, , Germany -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Analytics, Cloud Computing, AI Technologies, Data Lake, Data Warehouse, Real-Time Analytics, Integrated Data Security, Governance, SQL DB, Cosmos DB, PostgreSQL, MySQL, Technical Sales, Customer Engagement, Competitive Analysis, Solution Architecture

Industry

Software Development

Description

Overview 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 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. 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. In line with our Flexible Work approach, for roles at Microsoft Germany, Austria, and Switzerland, we recommend spending at least two days per week in the office or at the customer site. Responsibilities 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. Qualifications Bachelor's degree in Computer Science, Information Technology, Business Administration, OR related field AND solid experience with technology-related sales or account management experience; Solid experience leading the sales of large cloud engagements, especially those involving Cloud & AI Data projects to large/global enterprise customers Additional or Preferred Qualifications (PQs) Executive Presence: Experience and expertise selling to senior technical decision makers by aligning & reinforcing the business value and cost savings of the solution to the customer’s overall business pain and/or strategic opportunities and decision criteria. Collaborative: Orchestrate and influence virtual sales/technical/support/partner teams to pursue sales opportunities and lead virtual teams through influence. Hyper-Scaler Cloud Platform: Understanding of Microsoft Azure Cloud platform, or other public cloud platforms, including Data and Analytics technologies and how they translate into business impact. Competitive Landscape: Knowledge of enterprise software solutions and Cloud and AI Data competitor landscape including AWS and GCP. Microsoft Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Azure GBB Solution Engineer will engage with customers to understand their technical needs and ensure solutions meet their requirements. They will also guide customers through secure solution design and influence technical decisions to accelerate Data and Analytics adoption.