Microsoft Cloud Solution Architect Data & AI 

Greece, Attica, Athens 

166769809

• Bachelor's Degreein Computer Science, Information Technology, Engineering, or related fieldAND solid professionalexperience in cloud technologies, data architecture, data science, data operations, and/or consulting OR equivalent experience
• As this role requires collaboration with local customers, therefore fluency in Greek language is required.
• Experience in one or more of these Azure Products: Synapse, Fabric, Azure Databricks, Azure Data Factory, Cognitive Services, Azure OpenAI or similar/ competitive tech stack

Additional preferred technical qualifications:

• • The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
  • Situational fluency:Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room".
  • 
    Insightful listening:asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what is said.
  • Technical Certification in Cloud (e.g., Azure, AWS, GCP) or Data Platforms (Databricks, Snowflake)
  • Experience in migrations across database technologies (SQL Server, OSS DBs) and/or modernization from on-premises to the cloud.
  • Experience in handling structured and unstructured data in Big Data scenarios using technologies such as Fabric, Snowflake, Big Query, Redshift, and data lake concepts.

Customer Obsession

• Understand our customers' overall data estate business and IT priorities and help them design and implement Data & Analytics solutions that drive business value and consequently positive customer satisfaction
• Be our customers’ Trusted Technical Advisor by developing deep relationships with key customer IT decision makers and providing them with technical clarity and guidance through their data platform modernization journey to Azure, highlighting the opportunity to innovate and get AI-ready.
• Be the Voice of the Customer through sharing insights and best practices and connecting with Engineering teams to remove blockers and enable continuous improvement.

Business Impact

• Apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where possible
• Ensure that the solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
• Identify resolutions to issues blocking go-live of customer success projects by leveraging technical subject matter expertise.

Technical Leadership

• Demonstrate Self Learner mindset (learn it all vs know it all) through continuous alignment of individual skilling to team/area demands and Customer Success goals​
• Keep up to date with market trends and competitive insights; collaborate and share with peers and colleagues while educating customers on Azure
• Engage in relevant communities to share expertise and learn from others to help accelerate your customers transformation journey