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Data Solution Architect

Job-title: Data Solution Architect
Location: Tokyo
Specialisation: Information Technology
Salary: 8.5M ~ 12.0M
Reference: IJB2009329
Job-published: September 08, 2026 13:48

​​​​Work Location , Expected Annual Income :

Tokyo,8.5M ~ 12.0M

About the Company :

Global IT Company

Responsibilities :

Pre-sales Sr Solutions Engineer (Analytics, AI, Big Data, Public Cloud), you will guide the technical evaluation phase in a hands-on environment throughout the sales process. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems. You will report to the Field Engineering Manager.

The impact you will have:

- Big Data Analytics expert on aspects of architecture and design

- support your customers by authoring reference architectures, how-tos, and demo applications

- help integrate with 3rd-party applications to support customer architectures

- engage with the technical community by leading workshops, seminars and meet-ups

- partner with your Account Executive, and form successful relationships with clients throughout your assigned territory to provide technical and business value

What we look for:

- Understanding of customer-facing pre-sales or consulting role

- Experience demonstrating technical concepts, including presenting and whiteboarding

- Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)

- Experience with Big Data technologies, preferably in Apache Spark- , Hadoop, DWH, BI, AI/ML, or Data Science.

- Fluent coding experience in Python and implementing Apache Spark- is also desirable

Benefits :

- Various social insurances (employee pension insurance, health insurance, employment insurance, workers' compensation insurance)

- Corporate defined contribution pension plan

- Employee stock ownership plan

Required Experience / Abilities / Skills :

- Understanding of customer-facing pre-sales or consulting role

- Experience demonstrating technical concepts, including presenting and whiteboarding

- Experience designing and implementing architectures within public clouds (AWS, Azure or GCP)

- Experience with Big Data technologies, preferably in Apache Spark- , Hadoop, DWH, BI, AI/ML, or Data Science.