Are you passionate about designing intelligent, data-driven solutions that help businesses make smarter decisions?
Do you thrive on solving complex challenges using cutting-edge cloud and AI technologies? 

We are seeking a highly skilled and experienced Presales Solution Architect – Data & AI for Microsoft Azure to join our team and play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. The ideal candidate will have a deep understanding of Azure data services, AI technologies, and a track record of architecting scalable and efficient solutions to address complex business challenges. 

Key Responsibilities :

• Solution Design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and create architectural diagrams and documentation. 
• Azure Expertise: Leverage extensive knowledge of Azure services such as Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric , Azure Cognitive Services, and Azure OpenAI to architect robust platforms.  
• Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance. 
• Scalability and Performance: Architect solutions that are scalable, high-performing, and cost-efficient, considering factors like data volume, query complexity, and user concurrency. 
• Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality. 
• Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations. 
• Solution Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation. 
• Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance. 
• Innovation: Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance our data and AI capabilities.