Data Architecture Manager is responsible for researching, analyzing, designing, monitoring the implementation of the Data and supporting related issues in the operation of the Data. This includes models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in the organization.

Job descriptions:

• Set data standards for all data systems as a vision or a model of the eventual interactions between those data systems, including conceptual, logical and physical data processes.
• Research on advanced technologies and technology trends in order to develop an implementation plan and roadmap for Data based on business strategy and requirements.
• Coordinate with vendors, business units and internal IT teams to clarify requirements for Data architecture in projects and business strategies.
• Participate in the development of processes and standards in compliance with enterprise architectural governance model to ensure coordination in 5 architectural areas: IT Infrastructure, Security, Data, Application and Integration.
• Coordinate with teams in 5 architectural areas (IT Infrastructure, Security, Data, Application and Integration) to design solution for Data architecture.
• Building, maintaining, populating the Architecture Portal to serve as central repository.
• Participate in supporting issues related to Data architecture in operations and development.

Requirements:

1/ Educational Qualifications

• Bachelor degree or above: Computer Science / Engineering

2/ Relevant Knowledge/ Expertise

• Expert-level knowledge of high-volume online transaction processing, data architecture principles,
  approaches, best practices, and emerging technologies related to data and data hosting.
• Knowledge of data privacy, compliance, and security principles.
• Knowledge of data ingestion design patterns, including streaming analytics, complex event processing,
  and micro-services.
• Data management concepts, including data catalogs, ETL, ELT, Kimball, OLTP, OLAP.
• ITIL and ITSM concepts.
• Knowledge of data development and data discovery methodologies.
• Knowledge of service bus and web service integration concepts are preferred.
• Knowledge of more modern data architectures that support data science, such as data lakes and data
  mesh preferred.
• OLTP systems in banking.
• Data services and Data as a Service architecture.
• Real-time data acquisition, processing, analysis, and dashboarding.
• Knowledge of data governance processes and structures.
• Design, management. and use of semantic models.
• Data management tools for Oracle, MS SQL Server, Postgres and MySQL.
• Data Quality Management and Data Cleansing techniques.
• Creating conceptual, logical, and physical designs for data (e.g. schemas and entities) as well as for the
  platform (e.g. servers, PaaS services).
• Working with senior and executive leadership to communicate needs and plans.
• Skill in analysis, problem-solving, and troubleshooting.
• Master data management best practices and the ability to lead in their implementation and maintenance.

3. Skills

• Skills in analysis, problem-solving, and root cause investigation.
• Professional planning and request management skills.
• Skills of guiding and training staff.
  
• Writing and report producing skills.
• English communication and presentation skills.
  
• Strong negotiation skills

4. Relevant Experiences

• At least 5 years of experience as a Data Architect, or at least 5 years of senior-level experience as a Data Applications Developer/Engineer or Database Administrator.
• At least 5 years of experience with Oracle technologies.

5. Personal Characteristic

• Broad understanding and questioning.