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?

Are you ready to be a trusted advisor, shaping the future of data and AI for leading enterprises?

At SoftwareOne, you’ll join a global, diverse team of professionals dedicated to delivering exceptional customer experiences. We empower our teams to innovate, collaborate, and continuously develop their skills through world-class learning and development programs.

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.

Responsibility :

• Collaborate with cross-functional teams to gather requirements and design end-to-end data and AI solutions.
• Leverage deep expertise in Azure services (e.g., Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Fabric, Azure Cognitive Services, Azure OpenAI) to architect robust platforms.
• Design and optimize data models to support reporting, analytics, and business intelligence needs.
• Architect solutions for scalability, performance, and cost-efficiency, considering data volume, query complexity, and user concurrency.
• Define data integration strategies to extract, transform, and load (ETL) data from various sources, ensuring data consistency and quality.
• Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
• Identify and resolve performance bottlenecks, data quality issues, and other challenges during implementation and operation.
• Work closely with data engineers, data scientists, business analysts, and partners to understand needs and provide technical guidance.
• Stay up-to-date with industry trends and emerging technologies to recommend innovative solutions that enhance data and AI capabilities.