10 of 10 Metadata Jobs in Shropshire

delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service. Key responsibilities include: * Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. * Taking architectural ownership ...

guide delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service.Key responsibilities include:* Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption.* Taking architectural ownership ...

DevOps and test automation Delivery across on-premise, cloud and hybrid environments, including cloud migration programmes Key responsibilities include: Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. Providing architectural direction ...

data storage systems. Support the integration of data from multiple systems and sources. Maintain consistent and reliable master data across the organisation. Manage metadata and improve data accessibility and understanding. Oversee the data lifecycle from creation through to retention and deletion. Use data analysis and reporting to support business decision ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. Provide architecture … enterprise application and data landscapes. Knowledge of cloud architecture patterns, particularly AWS and Azure. Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance. Proven experience of architecture governance and design assurance processes. Strong stakeholder management and influencing skills. Experience working across multiple delivery ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. Provide architecture … enterprise application and data landscapes. Knowledge of cloud architecture patterns, particularly AWS and Azure. Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance. Proven experience of architecture governance and design assurance processes. Strong stakeholder management and influencing skills. Experience working across multiple delivery ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. Provide architecture … enterprise application and data landscapes. Knowledge of cloud architecture patterns, particularly AWS and Azure. Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance. Proven experience of architecture governance and design assurance processes. Strong stakeholder management and influencing skills. Experience working across multiple delivery ...

patterns. Ensure data architecture aligns with organisational architecture policies, governance frameworks and delivery methodologies. Support the evolution of enterprise data capabilities, including data products, metadata management, data fabric and data virtualisation approaches. Architecture Governance and Assurance Review proposed solutions and designs to ensure compliance with agreed architecture standards. Provide architecture … enterprise application and data landscapes. Knowledge of cloud architecture patterns, particularly AWS and Azure. Understanding of data management concepts, including data fabric, data virtualisation, metadata management, data integration and governance. Proven experience of architecture governance and design assurance processes. Strong stakeholder management and influencing skills. Experience working across multiple delivery ...

across the data landscape. Work closely with enterprise architects, delivery teams, security teams, suppliers and senior stakeholders. Support modern data capabilities including data products, metadata management, data fabric and data virtualisation . Provide technical leadership, mentoring and guidance across architecture and engineering teams. Support wider transformation and continuous improvement initiatives. … working across large-scale on-premise, cloud and SaaS environments . Strong knowledge of AWS and Azure architecture. Understanding of data governance, data integration, metadata management, data fabric and data virtualisation . Proven experience in architecture governance and design assurance . Excellent stakeholder management and influencing skills. Experience working across ...

sequencing, risk management, parallel running, cutover planning and evidence required for retirement decisions.* Using AI-enabled tools to accelerate feed discovery, documentation, code and metadata analysis, dependency identification, option development and architecture artefact production, with appropriate human review and governance.* Owning architectural decisions, assumptions, risks and issues across the transformation … target patterns for each feed or service grouping, supported by risks, assumptions and decision rationale. Expected uses include:* Accelerating analysis of legacy code, configuration, metadata, schedules, schemas, interface definitions and existing documentation.* Supporting feed documentation, dependency mapping, option development, risk identification and production of architecture artefacts.* Creating reusable prompts, templates ...