Data Architect

• 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)
  

• 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)