Microsoft Technology Specialists Data & Analytics 

Qatar, Doha, Doha 

186118758

Required/Minimum Qualifications:

• 6+ years of technical pre-sales or technical consulting experience
• OR Bachelor’s Degree in Computer Science, Information Technology, or related field AND 4+ years of technical pre-sales or technical consulting experience
• OR Master’s Degree in Computer Science, Information Technology, or related field AND 3+ years of technical pre-sales or technical consulting experience

Additional or Preferred Qualifications:

• Azure Certifications: Azure Data Engineer Associate (DP 203) or Enterprise Data Analyst Associate (DP 500) or Azure Cosmos DB Developer Specialty (DP 420) or equivalent industry certifications preferred.
• Competitive Landscape: Knowledge of Data and Analytics platforms such as Snowflake, Databricks, MongoDB, MongoDB Atlas, Cassandra, Datastax, AWS Dynamo DB, Neo4J, StarDog, AWS (Redshift), GCP Big query, Teradata, Netezza, Exadata, Apache Spark, Tableau, Qlik, Looker, etc. including financial performance, key messaging, and roadmap.
• Partners: Experience leveraging partner solutions to solve customer needs and scale opportunities.
• Experience creating NoSQL and Analytics Proof of Concepts (PoC)/Pilots for customers that lead to production deployments.
• Experience in developing highly optimized application code for NoSQL solutions. Working knowledge with C#, Java, NodeJS, Python languages for NoSQL implementation. Knowledge of Open-Source DB (Azure Database for PostgreSQL/MySQL, Azure Redis Cache) solutions.
• Collaborative: Works cohesively with customers, the Microsoft account team, and Microsoft partners. Helps others succeed by identifying and promoting innovative solutions and strategies.
• Excellent Communicator: Demonstrates executive presence, presentation skills, deep technical product demo abilities, written and verbal communication skills.
• Deep domain knowledge in NoSQL & Analytics Platforms (Azure Synapse, Azure Data Explorer, Azure Databricks, Azure Data Factory, Power BI), NoSQL DB (Azure Cosmos DB, MongoDB + Mongo DB Atlas and Open Source DB OR hands-on experience working with the respective products at the expert level. 3+ years of hands-on programming experience (Scala, Python, SQL etc.)
• Relationship Building: Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams.

· 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.