Data Architect- Data & Analytics
Posted Updated
Description
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.