Microsoft Azure Technology Specialist - Data & AI 

China, Hong Kong 

525550093

The main goal of

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology
• 5+ years technical pre-sales or technical consulting experience, OR equivalent experience.
• Experience in Azure Databricks, PostgreSQL and Azure Data Factory or equivalent technologies.

Additional or Preferred Qualifications

• Master's Degree in Computer Science, Information Technology
• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
• ML, AI project experience
• Certification in data relevant technologies or disciplines

• Proactively own technical discussions with customers leveraging processes and tools, demos, and programs using consultative sales methodology and technical expertise to influence the customer vision; establish rules of engagement (e.g., role boundaries, handoff strategies) for extended teams.
• Proactively build technical strategy: map the agreed customer vision into a strategy, resolve concerns, preventing and removing technical blockers and validating a strong business case for investment and translated technology complexity into business impact. Work with the customer, account team, and partners to orchestrate a roadmap for implementation guiding the customer to choose the best Microsoft Intelligent Data and Analytics platform and win the AI Design, inclusive of Microsoft AI, Application services, and Databases.
• 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; drive POCs/Pilots to create momentum for MVPs, infusing key AI technologies where appropriate and being technically proficient to do POC with hands-on-skills.
• Proactively enable cross collaboration across teams to drive AI Design Wins and support the customer AI transformation inclusive of AI Applications and data foundation. Support the creation of new pipeline in collaboration with the Specialist and account team by identify new opportunities within customer engagement and hand off to the Solution Specialist for pursuit.
• Be the Trusted advisor and use proactive effort to find and understand customers’ pain points and work with partners to design and offer solutions (with business case) to technical leaders by being a Microsoft Intelligent Data and Analytics platform evangelist inclusive of new Data and Analytics projects, modernizing legacy Data Warehouse to the cloud, new Modern Data Warehousing deployments, real-time analytics, and end to end Data, Analytics and AI solutions.
• 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 Database scenarios including Cosmos DB, SQL DB, PostgreSQL and in Analytics, Data warehousing, Data Engineering, Data Science including Intelligent Data and Analytics Platform (Azure SQL DW, Lakehouse architecture, Fabric, Azure Databricks, Power BI), and relevant AI technologies while keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community.