Presales Solution Architect - Azure Data & AI

Why SoftwareOne?

Hear firsthand from SoftwareOne APAC leaders as they unveil our exciting business and growth plan, spill the beans on our hiring initiatives, and reveal why joining SoftwareOne is an innovator. Join us now and be part of our incredible journey.

The role

We are seeking a highly skilled and experienced 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.

• 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.

What we need to see from you

Education and Certification :

What we need to see from you :

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