51 to 75 of 449 Metadata Jobs in London

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Apply strong quantitative and analytical problem‐solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift ...

platform architectures.* Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration.* Understanding of master data management, data governance, metadata, lineage, and data quality.* Understanding of security, privacy, compliance, and data integrity requirements.* Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions. ...

partner effectively with strong communication skills to translate technical trade-offs, risks and business value for senior stakeholders. Experience with clinical data standards, metadata management, validated computing environments, cloud platforms, version control or related technology platforms. Knowledge & Experience (preferred): Experience in oncology, rare disease, neuroscience or specialty-care clinical development. ...

Azure) and Data Lakehouse ArchitecturesYou have experience of designing and implementing technical data governance strategies with a focus on data quality and discoverable metadata, with practical knowledge of data-mesh or data-product-oriented architecturesYou are passionate about communicating complex concepts succinctly to both technical and non-technical audiences ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging technologies including … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks and distributed computing ...

Price Verification (IPV) platform supporting a global Refined Product Trading organization. The Solution Architect will define the end-to-end architecture for a governed, metadata-driven IPV Control Hub that replaces fragmented Excel, Microsoft Access, VBA, and email-based processes with an automated, controlled, and SOX-compliant enterprise solution. … reusable components. Design scalable Dataiku processing frameworks that support more than 70 internal and external data sources, including structured and unstructured data. Define metadata-driven frameworks for managing brokers, source priorities, mappings, thresholds, currencies, units of measure, regional variations, approval paths, and business rules. Design reusable Dataiku project templates ...

/data pipelines Data modelling, lakehouse architecture and modern data platforms Azure data services API and third-party system integration Data quality, governance, metadata and lineage Git, CI/CD and engineering best practices This role would suit someone who enjoys solving complex data challenges, thinks beyond individual pipelines ...

skills and practical experience using Python for data analysis and data quality activities, together with a solid understanding of data governance, master data management, metadata, lineage, classification, data quality frameworks, data lifecycles and maturity models. You will also have a good understanding of data protection, GDPR, data security, privacy ...

usability, and operational resilience. Drive the evolution of the Data Acquisition Platform, including APIs, services, plugins, and AI-enabled workflows for onboarding, pipeline creation, metadata generation, and natural-language data access. Establish and improve automated data-quality frameworks covering completeness, freshness, schema integrity, reconciliations, and business-rule validation. Own technical ...

Ensure architecture supports UK GDPR, data minimisation, DPIAs, data-sharing requirements, information governance and wider public sector obligations Enhance Microsoft Purview integration for cataloguing, metadata, lineage, ownership, classification and discoverability; define accountability for domains, workspaces, data products and semantic models Review capacity, performance and consumption, recommending workload protection, monitoring, cost ...

Ensure architecture supports UK GDPR, data minimisation, DPIAs, data-sharing requirements, information governance and wider public sector obligations Enhance Microsoft Purview integration for cataloguing, metadata, lineage, ownership, classification and discoverability; define accountability for domains, workspaces, data products and semantic models Review capacity, performance and consumption, recommending workload protection, monitoring, cost ...

frameworks, scripting). Experience supporting or validating ETL/ELT pipelines and data quality frameworks (rules, thresholds, exception handling). Exposure to lineage and metadata approaches; ability to validate transformations and trace data across platforms. Tooling/Delivery Methods Working knowledge of scheduling/orchestration tools such as Autosys ...

providing technical specifications and solution architecture for data flows. Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms. To be successful in this role, were seeking the following: Bachelors degree or the equivalent Advanced/graduate degree preferred Severeal years ...

Python. Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM). Understanddata management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance. Applystrong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return ...

cost. Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards. Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen. Take established best practices ...

platforming, modernisation and data architecture transformationExperience with business capability models, process taxonomies and maturity assessmentsExperience designing or governing data platform architectures, including data quality, metadata, security, privacy and complianceUnderstanding of public and private cloud architecturesExperience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers)Experience contributing ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...

Work with client business and technical teams to understand requirements and translate them into scalable cloud solutions. Establish best practices for data governance, security, metadata management, and data quality. Ensure compliance with enterprise security standards using IAM, encryption, audit logging, and networking best practices. Provide technical leadership, mentor development teams ...

Syndicate (MRSL) in a cross-functional team of architects from business and technologyCreate the design of Munich Res pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information managementManage ...

across: CPQ platforms ERP and Finance systems Revenue Recognition systems Product usage and customer data sources Discounting Renewals Upsell and cross-sell performance Define metadata standards, governance processes, and data quality frameworks for pricing-related data. Build executive dashboards and reporting frameworks measuring: Net Revenue Retention (NRR) impact Packaging adoption ...

strategies to ensure performance scales with business growth. Architect data structures specifically for LLM/GenAI consumption—including vector search optimization, embedding pipelines, and metadata-rich semantic views to support agentic AI initiatives. Partner with Business Analysts and Engineering to define 'Data Contracts'. Establish automated data quality frameworks (using ...