51 to 75 of 523 Metadata Jobs in London

Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business and engineering teams ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

Snowflake and brings together marketing, financial and other operational data across sites in multiple countries. This role will define the models, definitions, keys, metadata and data contracts that make that data consistent, trusted and usable across markets. You'll work closely with data engineering, analytics, product, commercial, marketing, finance ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills AWS Certification ...

solutions, documenting them as GAPs and aligning them with Architects Data Governance & DiscoveryFacilitate data discovery and enhance data management processes using platforms like Open Metadata Ensure KPIs and documentation remain accurate and up to date Support data quality and compliance standards across the organization Innovation & OperationsInitiate and experiment with ...

platforms worldwide. As demand for high-quality AI training data accelerates, they're uniquely positioned to turn their extensive video library into valuable datasets, metadata and insights, and they need someone who can get more value out of the data they already hold. This is a hands-on role. There ...

Infrastructure-as-Code, automation, release governance, and quality gates.Establish platform engineering practices supporting continuous delivery and automation.Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards.Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems.Collaborate with business and engineering teams to enable ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards and FDJ United ...

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. ...

/Data Fabric, cloud data platforms, integration, storage, master/reference data and interoperability.Data & AI Governance: Strong knowledge of governance architecture covering ownership, quality, metadata, lineage, privacy, security and information lifecycle, including data used by AI and AI-generated information.AI-Ready Data: Experience shaping how enterprise data is prepared, integrated ...

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, return on investment ...

APIs, event-driven systems, containerization, platform engineering, and PCF/Kubernetes environments.Enterprise data architecture utilizing Snowflake, Databricks, data lakes, data warehouses, master data management, metadata management, AI enablement, and advanced analytics platforms.Enterprise resiliency, disaster recovery, active-active architectures, high availability, blue-green deployments, observability, and operational readiness frameworks.Modern DevSecOps ...

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 ...

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 ...