Pre-Sales SA Azure: Data & AI

Company Description Ironbook AI is a builder-led company focused on solving complex enterprise AI challenges in data activation, agentic automation, and autonomous data engineering. The organization operates a dual model, combining product development of AI-native systems—such as an autonomous data migration agent—with a high-impact consulting practice for leading enterprises across APAC. Teams work directly with modern cloud ecosystems and technologies including AWS, Databricks, Confluent, and MinIO to deliver AI solutions at scale. Ironbook AI values hands-on problem solving, meaningful systems design, and pushing the boundaries of AI capabilities. Applicants joining the company will help shape the next decade of enterprise technology through practical, real-world AI implementations.

Role Description The Pre-Sales SA – Azure: Data & AI [Thai Speaking] role is a full-time on-site position based in Bangkok, Thailand.

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.

• 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 (overall 8 to 12 years of relevant 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.
• Commitment to inclusive, collaborative teamwork and continuous learning.