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Senior Solutions Architect, Cloud Data & AI (Presales)

Evantistalentsolutions

Bangkok, Bangkok, Thailand1 month ago
77 views44 saves3 applies

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Job Type

full time

Description

Permanent | Office-based | Bangkok, Thailand

About the role

Our client, a leading multinational technology consultancy with deep Microsoft Azure capability, is hiring a Senior Solutions Architect, Cloud Data & AI (Presales). You will play a central role in designing and shaping data analytics and AI solutions on the Azure platform — partnering with sales, customers, and delivery teams to translate business requirements into scalable, secure, high-performing architectures.

This is a hands-on, customer-facing role with high visibility across enterprise accounts. You will be the technical authority during the presales cycle: leading discovery, designing end-to-end solutions, defending architecture choices, and supporting commercial proposals.

Role details

  • Function: Presales – Azure Data & AI
  • Headcount: 1
  • Location: Bangkok (office-based)
  • Work setup: Office-based with regular customer engagement
  • Reporting line: Presales / Solutions leadership

Key responsibilities

  • Solution design: Collaborate with cross-functional teams to gather requirements, design end-to-end data and AI solutions, and produce architectural diagrams and supporting documentation.
  • Azure expertise: Architect robust platforms using Azure Synapse Analytics, Azure Data Factory, AI Foundry, Azure Databricks, Azure Machine Learning, Microsoft Purview, Microsoft Fabric, Azure Cognitive Services, and Azure OpenAI.
  • Data modelling & integration: Design and optimise data models that support reporting, analytics, and BI use cases while preserving data integrity and performance.
  • Scalability & performance: Architect solutions that are scalable, high-performing, and cost-efficient, accounting for data volume, query complexity, and concurrency.
  • Security & compliance: Implement security measures and best practices to protect sensitive data and ensure compliance with industry standards and regulations.
  • Collaboration: Partner with data engineers, data scientists, business analysts, and partner teams to deliver well-aligned outcomes.
  • Presales support: Support proposals, RFPs, demos, and customer workshops; act as the technical lead during opportunity qualification and design.

What we need to see from you

  • Demonstrated experience in solution architecture or presales roles, with a focus on data analytics and Azure cloud technologies (no specific years required — capability and recent project work matter most).
  • Extensive hands-on experience with Azure services: Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Machine Learning, Microsoft Purview, Microsoft Fabric, Azure Cognitive Services, Azure OpenAI, and Power BI.
  • Solid grasp of data modelling, ETL/ELT processes, data warehousing, and data governance principles.
  • Ability to design secure, scalable, and high-performing architectures on Azure.
  • 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.

Nice to have

  • Microsoft Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect Expert, Azure AI Engineer Associate).
  • Experience with Azure OpenAI / Generative AI architectures and responsible AI practices.
  • Prior experience in a Microsoft partner or large systems integrator environment.

Compensation & package

  • Position type: Permanent
  • Work setup: Office-based

Why apply

  • Architect cutting-edge Azure Data & AI solutions for enterprise customers across APAC.
  • Direct exposure to the latest Azure data and AI services, including Microsoft Fabric and Azure OpenAI.
  • Strong investment in certification and continuous learning.
  • Career path into principal architect, practice lead, or regional architecture roles.

This job is found at InterviewStack.io

Skills

azureanalyticsdatabricksmachine learningscalabilityopenaietldata warehousinggenerative aistakeholder managementdata governance