Global Data Engineering Manager/ Associate Director

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Job details

Company overview

We are a leading biotechnology company focusing on cutting-edge technologies. Our key areas of focus include cancer, kidney disease, and immune disorders. In the field of antibody medicine, we are committed to developing innovative new drugs by combining technologies such as the "Potelligent technology" (which enhances antibody activity by 100 times) and "Human Antibody-Producing Mouse." We are dedicated to establishing a global research and development framework to provide medicines to a large number of patients.

Responsibilities

The company is a life science R&D company with a strong focus on biotechnology.

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■Responsibilities

• Design and evolve enterprise data and information architectures aligned with business objectives
• Define data integration and distribution standards with global and regional teams
• Establish best practices for data modeling, performance tuning, and cost optimization
• Ensure availability, scalability, security, and governance of data platforms
• Collaborate with infrastructure and security teams to meet business and compliance requirements
• Lead selection, delivery, and lifecycle management of data platforms and products
• Monitor KPIs to proactively address performance and capacity issues
• Maintain architecture documentation and data artifacts
• Provide technical leadership, coaching, and guidance to internal and external teams

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Requirements

■Required

• 5+ years of experience in data architecture, data engineering, or related roles
• Hands-on experience designing and operating data platforms (DWH, Data Lake, etc.)
• Strong knowledge of data modeling (logical and physical)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Knowledge of data integration technologies (ETL/ELT, APIs, streaming)
• Strong communication skills and ability to work with diverse stakeholders
• Conversational-level or higher Japanese proficiency
• Business-level or higher English proficiency
• Non-smoker

■Preferred

• Experience in global or large-scale data environments
• Knowledge of data governance, data quality, and compliance
• Familiarity with TOGAF, DAMA-DMBOK, or similar frameworks
• Cloud certifications (AWS, Azure, GCP)
• Experience with BI, analytics, or AI/ML platforms

Salary

10 - 16 million yen

Location

Tokyo