Presales Solution Architect - Data & AI

SoftwareOne; Malaysia; On-site; MYR 180,000 - 300,000; Full time

Job summary

SoftwareOne is seeking a Presales Solution Architect for Azure Data & AI to design and implement data analytics and AI solutions on the Azure platform. You will collaborate with cross-functional teams to gather requirements and provide architectural guidance.

The role emphasizes scalable, secure, and cost-efficient architectures, with hands-on work across Azure Synapse Analytics, Data Factory, Databricks, Machine Learning, Purview, Fabric, Azure OpenAI, and Power BI to meet reporting and BI

Qualifications

• Experience in solution architecture or presales roles focused on data analytics.
• Hands-on experience with Azure services listed.
• Understanding of data modeling, ETL, data warehousing, and governance.
• Ability to design secure, scalable architectures and communicate with non-technical stakeholders.
• Collaborative work with data engineers, data scientists, and business analysts.

Responsibilities

• Collaborate with cross-functional teams to design end-to-end data and AI solutions.
• Architect robust Azure-based platforms leveraging Synapse, Data Factory, Databricks, ML, Purview, and OpenAI.
• Design and optimize data models to support reporting and BI needs.
• Ensure scalable, high-performing architectures considering data volume and concurrency.
• Define data integration strategies for reliable ETL processes.
• Implement security measures and compliance best practices.

Skills

Solution architecture

Presales experience

Data analytics

Communication skills

Tools

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Azure Machine Learning

Purview

Fabric

Azure Cognitive Services

Azure OpenAI

Power BI

Job description

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.

Key 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.

Preferred candidate profile

• 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.
• Work closely withWork closely with data engineers, data scientists, business analysts, and partners to understand needs and provide technical guidance.