Posted:1 day ago|
Platform:
On-site
Full Time
Bachelor's Degree or equivalent number of years of experience in a Computer Science or Data Management related field.
Experience in leading and delivering enterprise data platform architectural thinking, and its practical application.
Experience in the use of conceptual and logical data modelling technologies.
Experience in defining and working with information and data regulatory governances.
The role holder will possess a blend of data/information architecture, analysis, and engineering skills.
Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. FAIR data principles, Data Mesh).
Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles.
Experience in a data architect role with practical examples of designing and providing data engineering/architectural blueprints that have been implemented.
Experience of Information and Data Governance frameworks and their application in a commercial organization.
Understands Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments.
Experience in Agile data definition scrums.
Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools.
Understanding of or familiarity with,Data Mesh approaches (as distinct from Data Fabric or Data Platform).
Bachelor's Degree or equivalent number of years of experience in a Computer Science or Data Management related field.
Experience in leading and delivering enterprise data platform architectural thinking, and its practical application.
Experience in the use of conceptual and logical data modelling technologies.
Experience in defining and working with information and data regulatory governances.
The role holder will possess a blend of data/information architecture, analysis, and engineering skills.
Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. FAIR data principles, Data Mesh).
Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles.
Virtusa
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