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.
Roles and 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 & 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.
- Experience collaborating with cross-functional teams and mentoring others.
- Commitment to inclusive, collaborative teamwork and continuous learning
