Microsoft Technology Specialists - Data & AI 

France, Ile-de-France 

889484352

• Solid technical pre-sales or technical consulting experience.
• Experience from data team (e.g., Data Analyst or Data architect or Data Scientist).
• Master's OR Bachelor's Degree in Computer Science, Information Technology, or related field AND solid technical pre-sales or technical consulting experience OR equivalent experience.
• General understandings of Microsoft's data portfolio and the platform capabilities.

• Solid experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
• Certification in relevant technologies or disciplines (e.g. DP-301).
• Experience from technical presales team from other data company.

· Drive technical assessments to create a map of the current landscape and to build the technical migration & modernization plans, thus building a solid business case.

· Design the solution using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customer’s technical decision and meet the customer’s needs. Ensure technical decision makers agree with proposed architecture. Drive POCs/pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to conduct and complete a POC with hands-on-skills. Articulate the end-to-end architecture, including both Apps and Data services (Azure Cosmos DB & OSS DB)

· Identify new opportunities within customer engagement.

· Be the Trusted advisor and use proactive effort to find and understand customers’ pain points, and design and offer solutions (with business case) to technical leaders.

· Be the Voice of Customer to share insights and best practices with Engineering, to remove key blockers and drive product improvements.

· Maintain and grow expertise in Data Modernization (Azure Cosmos DB and Open Source DB), Analytics & Data warehousing scenarios including Intelligent Data Platform (Azure SQL DW, Azure Data Lake, Azure Synapse Analytics/Azure Databricks, Power BI), and AI technologies (Azure OpenAI Services, Azure Cognitive Services, Azure Machine Learning) while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.

· Be an Azure platform evangelist for Analytics & Data Warehousing scenarios like modernizing your legacy Data Warehouse and migrating to the cloud, new Modern Data Warehousing deployments and end to end analytics solutions.

· Scale through partners, acting as liaison between the partner and account team and facilitating partner resources and processes; supporting partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.