Salary: ? 818,000 JPY per month (includes overtime)
A leading finance firm is seeking for a Data Virtualisation (DV) solution modeller/architect who will support the delivery of reliable, timely, and consumable Finance Data Service Layer (FDSL) using Data Virtualization (Denodo) for BI reporting, operational use and downstream analytics.
This person will be responsible for modeling solution within DV (Denodo) and/or Hadoop (Dremio) including Performance and Scalability, Caching best practices, Data Governance and Security and Information Self-Service; as well as ensuring alignment with enterprise strategy, Data Management Office and related business architecture.
In addition, this role will oversee and lead setting vision and direction, defining data modeling guiding principles / best practices, ensuring the creation of data models showing key data entities and relationships, and creating an inventory of the data needed to implement the data vision.
‐ Collaborate with all areas of IT, including application, integration, data management and big data teams to help and facilitate on boarding new data sources.
‐ Build, document and contribute to all aspects of the Finance Data Model, dictionary, catalogue and various data model layers (physical, logical, foundation, conceptual) - The meta data layer for the Finance data lake (Virtual and Physical).
‐ Guide improvement in tools and capabilities to support the data strategy and vision.
‐ Work with and support Finance SMEs to determine Use cases and to ensure business achieves the most ROA and ROI.
‐ Setup the guidelines and best practices on best technical implementation patterns within Foundation and Insights Layer(s) of the Data Virtualisation (DV) (Virtual Data Lake).
‐ Work closely, guide and educate DataOps team and Data Platform owners on DV usage.
‐ Work closely with Enterprise Data Architecture team and ensure an Enterprise Logical Data Model is available as a standard for master repositories and for consuming applications to inherit
‐ Establish Lean Data Architecture practice within DV to help capture business rules needed for the creation and management of modelled data.
‐ Lead and oversee Data Virtualization Patterns, Performance and Scalability, Data Governance and Data Security, Data Federation as well as Information Self-Service within Data Virtualization platform.
‐ Continuous education and knowledge sharing with Finance SMEs and within DataOps teams.
【会社概要 | Company Details】
Our client is a Japan-headquartered financial services group with an integrated global network spanning over 30 countries. The company has over 90 years’ history and driven by over 28,000 employees worldwide.
【就業時間 | Working Hours】
8:40 ‐ 17:40（Mon ‐ Fri）
【休日休暇 | Holidays】
Saturday, Sunday, and National Holidays, Year-end and New Year Holidays, Paid Holidays
【待遇・福利厚生 | Services / Benefits】
Social insurance, Transportation Fee, Skillhouse Benefit