Enterprise Data & AI Solutions Architect (Pre-Sales)

Thakral One Pte. Ltd.; Manila; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Thakral One Pte. Ltd. is seeking a Solutions Architect / Pre-Sales – Data & AI to provide technical and solution design expertise for enterprise sales opportunities and client engagements.

You will translate business and technology requirements into scalable, secure and cost-effective data and AI solutions, collaborating with Sales, Consulting and Delivery teams. The role covers data integration, cloud data platforms, analytics, BI and AI capabilities, with a focus on successful client

Qualifications

• Bachelor's degree in CS/IT/Engineering/Data Science or related discipline.
• At least 7 years of experience in data engineering, data architecture, cloud solutions or enterprise technology consulting.
• Experience designing and presenting enterprise data and analytics solutions to business and technical stakeholders.
• Experience in IT consulting, professional services or enterprise technology solutions is preferred.

Responsibilities

• Lead pre-sales and client engagement activities, translating requirements into scalable data and AI solutions.
• Design high-level architectures covering data integration, data engineering, cloud data platforms, analytics and AI capabilities.
• Produce solution diagrams, technical specifications and architecture documentation for proposals and engagements.
• Support technical proposals, RFP/RFI responses and solution estimations to align with client requirements.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or related discipline

Job description

Thakral One Pte. Ltd. is seeking a Solutions Architect / Pre-Sales – Data & AI to provide technical and solution design expertise for enterprise sales opportunities and client engagements.

You will translate business and technology requirements into scalable, secure and cost-effective data and AI solutions, collaborating with Sales, Consulting and Delivery teams. The role covers data integration, cloud data platforms, analytics, BI and AI capabilities, with a focus on successful client