Presales Solution Architect - Azure Data & AI

PowerToFly; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading tech company in Singapore seeks a Presales Solution Architect specializing in Azure Data & AI solutions. You will design scalable, secure architectures and collaborate with cross-functional teams to fulfill customer needs. The role requires expertise in Azure services including Azure Synapse Analytics and Azure Machine Learning. Innovation and adherence to industry standards are key components of the job, ensuring high-quality solutions that drive data-driven decisions.

Qualifications

• Expertise in Azure services and architecture.
• Strong background in implementing data analytics and AI solutions.
• Ability to collaborate with cross-functional teams.

Responsibilities

• Collaborate with teams to design data and AI solutions.
• Architect scalable and secure platforms using Azure services.
• Identify and resolve performance bottlenecks.

Skills

Azure Synapse Analytics

Azure Data Factory

Azure Databricks

Azure Machine Learning

Data integration strategies

ETL processes

Technical guidance

Tools

Microsoft Purview

Fabric

Azure Cognitive Services

Azure OpenAI

Job description

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.

• 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.