Data Modeling: Developing conceptual logical and physical data models to ensure data assets are organized effectively for storage retrieval and analysis
Database Management: Overseeing the design implementation and maintenance of databases ensuring they meet performance security and scalability requirements
Data Integration: Integrating data from various sources and formats to ensure consistency accuracy and reliability across systems
Data Governance and Security: Establishing policies and procedures for data management ensuring compliance with regulatory requirements and implementing security measures to protect sensitive data
Data Analysis and Visualization: Collaborating with data analysts and business stakeholders to understand data requirements and develop solutions for data analysis and visualization
Technology Evaluation and Implementation: Staying updated with emerging technologies and evaluating tools and platforms to enhance data management and analytics capabilities
Collaboration and Communication: Working closely with crossfunctional teams including developers analysts and business leaders to understand requirements align priorities and communicate solutions effectively
Strategic Planning: Participating in strategic planning activities defining team objectives and aligning them with the organizations overall data strategy and business objectives
Requirements
Overall 10 experience with 5 years of experience in data architecture database design data modeling and data management
Proficiency in database technologies such as SQL NoSQL and data warehousing solutions
Expertise in data modeling tools like ERwin ER/Studio or similar
Strong understanding of data integration techniques and ETL (Extract Transform Load) processes
Familiarity with big data technologies such as Hadoop Spark and related ecosystem tools. Databricks knowledge is a preferred
Knowledge of cloud platforms like AWS Azure or Google Cloud for implementing scalable data solutions
Knowledge of BI & analytics products such as PowerBI Tableau Qlik etc
Demonstrated experience in deploying and managing data infrastructure on cloud platforms
Proficiency in programming languages commonly used in data architecture such as Python Java or Scala
Proven track record of successfully leading data migration projects including assessing existing data systems designing migration strategies and executing migrations with minimal disruption to business operations
Understanding of data governance principles and best practices in cloud environments including data privacy security and compliance requirements
Excellent verbal and written communication skills to collaborate with crossfunctional teams effectively and stakeholders
Strong problemsolving skills to address datarelated challenges and optimize data workflows
Capability to lead and mentor junior data professionals as well as provide guidance on data architecture best practices
Relevant certifications such as AWS Certified Solutions Architect Microsoft Certified: Azure Solutions Architect or Google Cloud Professional Cloud Architect
Industry or domain knowledge with understanding of industryspecific regulations and compliance standards related to data privacy security and governance
Commitment to staying updated with emerging trends technologies and best practices in data architecture and management through continuous learning and professional development activities
Proficiency in documenting data architecture designs migration plans and postmigration configurations to ensure knowledge transfer and facilitate ongoing support and maintenance of cloudbased data solutions
LANGUAGE Bilingual (Native Japanese/ JLPT N2 and above)
Roles and Responsibilities:
Data Modeling: Developing conceptual, logical, and physical data models to ensure data assets are organized effectively for storage, retrieval, and analysis
Database Management: Overseeing the design, implementation, and maintenance of databases, ensuring they meet performance, security, and scalability requirements
Data Integration: Integrating data from various sources and formats to ensure consistency, accuracy, and reliability across systems
Data Governance and Security: Establishing policies and procedures for data management, ensuring compliance with regulatory requirements and implementing security measures to protect sensitive data
Data Analysis and Visualization: Collaborating with data analysts and business stakeholders to understand data requirements and develop solutions for data analysis and visualization
Technology Evaluation and Implementation: Staying updated with emerging technologies and evaluating tools and platforms to enhance data management and analytics capabilities
Collaboration and Communication: Working closely with cross-functional teams, including developers, analysts, and business leaders, to understand requirements, align priorities, and communicate solutions effectively
Strategic Planning: Participating in strategic planning activities, defining team objectives, and aligning them with the organizations overall data strategy and business objectives
Requirements
Overall 10+ experience with 5+ years of experience in data architecture, database design, data modeling, and data management
Proficiency in database technologies such as SQL, NoSQL, and data warehousing solutions
Expertise in data modeling tools like ERwin, ER/Studio, or similar
Strong understanding of data integration techniques and ETL (Extract, Transform, Load) processes
Familiarity with big data technologies such as Hadoop, Spark, and related ecosystem tools. Databricks knowledge is a preferred
Knowledge of cloud platforms like AWS, Azure, or Google Cloud for implementing scalable data solutions
Knowledge of BI & analytics products such as PowerBI, Tableau Qlik, etc
Demonstrated experience in deploying and managing data infrastructure on cloud platforms
Proficiency in programming languages commonly used in data architecture such as Python, Java, or Scala
Proven track record of successfully leading data migration projects, including assessing existing data systems, designing migration strategies, and executing migrations with minimal disruption to business operations
Understanding of data governance principles and best practices in cloud environments, including data privacy, security, and compliance requirements
Excellent verbal and written communication skills to collaborate with cross-functional teams effectively and stakeholders
Strong problem-solving skills to address data-related challenges and optimize data workflows
Capability to lead and mentor junior data professionals, as well as provide guidance on data architecture best practices
Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Professional Cloud Architect
Industry or domain knowledge with understanding of industry-specific regulations and compliance standards related to data privacy, security, and governance
Commitment to staying updated with emerging trends, technologies, and best practices in data architecture and management through continuous learning and professional development activities
Proficiency in documenting data architecture designs, migration plans, and post-migration configurations to ensure knowledge transfer and facilitate ongoing support and maintenance of cloud-based data solutions
LANGUAGE - Bilingual (Native Japanese/ JLPT N2 and above)
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