IT Data Architect

*Data modeling - Establishment of conceptual/logical/physical data modeling and data modeling direction - Data modeling changes and process management - Establish data standards and a data standard management system, including items required for data modeling, terminology dictionary, and domains, and apply the MDM (master data management) and data governance framework to the meta management system. *DB design and implementation - Implement database architecture design, database structure design/backup design/security design - Implement database object design such as tables and procedures - Create guides for developers, including index design guides for performance, tuning guides, and SQL development guides PoC/BMT performance for database selection and architecture verification - Development, testing, establishment of operating environment and data model/database change management - Support unit/integration testing and perform system testing to ensure system performance, backup/recovery, and availability - Develop a database optimization and SQL performance tuning plan *DB operation - Provides smooth data services and establishes operation management procedures for stable operation and management - Management and monitoring of DB object changes such as tables and indexes - DBMS change management and monitoring, including DBMS parameter and storage structure changes - Operational diagnostics and problem management - Audit and improve operating processes * Big data design and implementation - Identify source data types and storage structures and design logical architecture for target big data storage and data processing - Select a big data storage solution to implement logical architecture, design and build the architecture.

[Required] *Having experience in bellow area -Data governance technologies (data standards/meta, Er-model, big data/DW model, distributed model, etc.) -DBMS implementation technology (Oracle, MySQL series, MS SQL, DB2, etc. RDBMS) -NoSQL implementation technology (Key Column Type, Document Type, Time Series Type, etc.) -Data processing and storage implementation technology in public cloud or big data platform (RDS, Redshift, BigQuery, etc.) -Average English Communication (Ability to perform work in English) *[Nice to have] Positive thinking and friendly Korean communication