About the role

As a Presales Solution Architect – Azure Data & AI, you will play a crucial role in designing and implementing data analytics and AI solutions on the Azure platform. You will collaborate with cross-functional teams to gather requirements, design end-to-end solutions, and provide technical guidance to ensure scalable, secure, and high-performing architectures.

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 & integration: 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.
Security and Compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
Collaboration: Work closely with data engineers, data scientists, business analysts, and partners to understand their needs and provide technical guidance.

What we need to see from you

Experience in solution architecture or presales roles, with a focus on data analytics and Azure cloud technologies (no specific years required).
Extensive hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, Azure OpenAI, and Power BI.
Solid understanding of data modeling, ETL processes, data warehousing, and data governance principles.
Ability to design secure, scalable, and high-performing architectures.
Strong communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
Commitment to inclusive, collaborative teamwork and continuous learning.