Data Architect- Data & Analytics

We are seeking a Data Architect / Data Solution Architect to design data architectures, develop data solutions, establish data governance standards, and support data engineering and analytics initiatives.

Key Responsibilities

• Advocate for the client and provide thought leadership in data analytics and data engineering.
• Understand functional and non-functional requirements to define the holistic data management system architecture.
• Demonstrate compelling business value to the client through data architecture and solutions aligned with business scenarios.
• Collaborate with internal stakeholders and outline data management standards, guidelines, governing principles, and policies aligned with client requirements.
• Identify use cases, document process flows and data flows, outline the data management approach, and define data models.
• Specify data compliance, regulations, and access methods aligned with requirements.
• Create data reference architectures and frameworks.
• Participate in pre-sales activities, proposal creation, solution design, and project delivery.
• Participate in a learning culture where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.

Requirements

What are we looking for

• A bachelor's degree from an accredited institution or an equivalent overseas degree. Three years of progressive practical experience in the relevant field may be considered as a substitute for formal education.
• Possesses over 15 years of practical experience in the IT (Information Technology) field.
• Bilingual professional capable of performing job duties in both Japanese and English.
• Must hold Japanese citizenship or possess valid authorization to work in Japan.
• Possesses over 10 years of practical experience in data analytics architecture and solution design.

Preferred Qualifications

• Possesses over 10 years of practical experience in data analytics architecture, advanced analytics, data engineering, and data governance.
• Experience leading large-scale data analytics programs, data solution design, and project delivery.
• Practical experience with data management and integration tools such as Microsoft Fabric, Informatica, Collibra, and Talend.
• Practical experience with hyperscaler cloud platforms such as AWS, Azure, and GCP.
• Excellent verbal and written communication skills.
• Experience leading teams and effectively managing client expectations.
• Practical experience with the Software Development Life Cycle (SDLC); experience with Agile development methodologies is a plus.
• Ability to collaborate effectively as part of a team in environments involving diverse stakeholders.
• Experience working in a global delivery environment, or a willingness to work in such an environment.