Azure Data & AI Specialist at Microsoft
Deutschland, , Germany -
Full Time


Start Date

Immediate

Expiry Date

17 Jun, 25

Salary

0.0

Posted On

16 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Spark, Postgresql, Sql, Data Solutions, Data Warehouse, Analytics, Hadoop, Mysql, English, Nosql, Power Bi

Industry

Marketing/Advertising/Sales

Description

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture embraces a growth mindset, inspires excellence, and encourages teams to bring their best every day. As an Azure Data & AI Specialist, you will play a pivotal role in transforming enterprise customers by helping them harness the power of data and artificial intelligence.
As an Azure Data & AI Specialist, you will be responsible for driving business growth within our enterprise accounts by identifying, developing, and closing high-value Data & AI opportunities. Your ability to maintain a strong and healthy pipeline will directly contribute to Microsoft’s continued success in this space.
You will work with customers to shape their data strategies and solutions, including modern data warehousing, analytics, insights, governance platforms, and AI/ML solutions. By understanding their unique business needs, you will guide them on their Azure Data transformation journey, demonstrating how our solutions can drive meaningful outcomes.

REQUIRED QUALIFICATIONS:

  • Strong experience in technology-related Sales/Solution Sales in a reputable software company with many years of sales experience
  • Experience selling business solutions to global customers with a focus on data platform and Analytics & AI technologies
  • A track record of meeting and exceeding revenue targets AND experience working with complex enterprise customers
  • German native speaker AND full proficiency in English

ADDITIONAL OR PREFERRED QUALIFICATIONS:

  • Experience working with Data solutions: Cloud-based Data Warehouse, Databricks, Hadoop, Spark, Data Lake, SQL; MySQL, PostgreSQL, NoSQL (Mongo), Power BI, and/or Machine Learning solutions
Responsibilities

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