4 of 4 Metadata Jobs in Wales

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

innovative approaches or tools Data governance- define data governance and assurance for clients Data lifecycle- understand and apply data governance over a data lifecycle Metadata management- understand and promote the use of metadata repositories Data modelling- produce relevant data models across multiple subject areas Data standards- refine, develop or apply ...