76 to 100 of 246 Metadata Management Jobs

over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Databricks Data Engineer BU/Segment: Analytics/Data Management Location: Leeds, United Kingdom (Hybrid, 1-2 days in the office) Employment Type: Permanent to start ASAP Summary of the role: We're looking … experience is essential, with a strong understanding of retail data domains, including customer, product, sales, inventory and supply chain data. Minimum of 5 years' management experience required, leading technical delivery or overseeing project teams within data engineering or integration environments. 8-10 years' experience in data engineering and integration ...

solutions. Your role Define enterprise and solution-level data architectures. Design conceptual, logical and physical data models. Develop data strategies, gvernance frameworks and information management approaches. Design secure and scalable data integration patterns across complex technology landscapes. Produce architecture artefacts aligned to enterprise architecture frameworks and business strategies. Support … Secure Government Data Architecture Practice. About you – Technical expertise Area: Enterprise Data Architecture; Solution Data Architecture; Data Strategy; Information Architecture; Data Modelling; Data Governance; Metadata Management; Master Data Management; Data Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data ...

SCOR framework. Establish integration patterns across airline operational systems, planning applications, enterprise platforms, and external data sources. Define and govern master data, reference data, metadata, lineage, business glossaries, and data quality standards. Collaborate with business stakeholders to capture supply and demand planning requirements and convert them into architecture deliverables. … artefacts. Proven experience integrating data across enterprise systems using APIs, batch processing, messaging, event-driven architectures, and streaming technologies. Strong knowledge of data governance, metadata management, master data management, data quality, data lineage, and enterprise security practices. Personal Attributes: Excellent stakeholder management and communication skills. Able ...

strong balance between strategy, architecture, governance, and hands‐on leadership, with a particular focus on: Architecture, governance, and compliance (data, AI, access, regulatory) Cost management (FinOps for data and AI platforms) Platform standards, adoption and best practices Enabling business-driven use cases at scale Responsibilities Key duties and responsibilities … access control, and regulatory compliance Define and operate platform governance models Ensure alignment with regulatory requirements (e.g. data privacy, auditability, AI governance) 4. Cost Management & FinOps Own platform cost management (FinOps) across data and AI workloads, ensuring transparency, accountability, and optimization Implement cost control mechanisms Drive a culture ...

diverse business units to create a cohesive, single source of truth. Ensures data structures are optimized for performance, scalability, security, and cost-efficiency. Stakeholder Management: Liaises directly with senior leadership, product owners, and business analysts to translate business strategy into technical data requirements. Guides and directs engineering, application … frameworks (e.g., TOGAF, DAMA-DMBOK) and modern paradigms like Data Mesh. Project Leadership: Proven history of leading high‐impact migration, modernization, or master data management (MDM) projects that shape overarching corporate data policies. Technical & Business Skills: Data Architect: Expert proficiency in cloud data platforms (e.g. Snowflake, AWS, Azure). ...

Controlled Vocabularies with Business Partners and the Chief Data Office. Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts. Guides evaluation of current technology and leads evaluation of new technologies using existing … processes. Serves as a function-wide subject matter expert in one or more areas of focus. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Adds to team culture of diversity, opportunity, inclusion, and respect. Required qualifications, capabilities, and skills Hands ...

secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with … Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence ...

over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Senior Data Modeller BU/Segment: Analytics/Data Management/Insurance Location: London, United Kingdom (Hybrid working) Employment Type: Permanent As a Senior Data Modeller , you will play a key role in designing, developing … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

Role Data Management and Analytics-Data Modelling Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

position drives a single source of truth for market, customer, product, retailer, and consumer data. The role oversees data quality, supplier performance, business definitions, metadata, data contracts, and analytics tool adoption, ensuring compliance with enterprise governance standards while maximizing the value of data-driven decision-making across the organization. … Data Governance & Standards Act as primary steward for market measurement data across categories, commercial teams, and leadership. Define and maintain data standards, business definitions, metadata, data dictionaries, and governance documentation. Establish and govern a single source of truth for category hierarchies, retailer mappings, product taxonomies, and business calculations. Ensure ...

client, a specialist technology and services business supporting financial services organisations, is seeking an EDM (Enterprise Data Management) Consultant to join its permanent, client-facing delivery function. This UK/EU remote role involves no travel and focuses on helping organisations reconcile, control and trust critical data across complex … operating environments. Working with stakeholders across Operations, Finance and Product Control, Data, Technology and Change, you will design and embed practical enterprise data management capabilities that improve governance, data quality, metadata, lineage and stewardship. Key Responsibilities: Lead discovery and requirements workshops with business and technology stakeholders to understand ...

Data Quality Analyst VANRATH is pleased to be partnering with a leading international business as it continues to develop its data management capabilities. This is an excellent opportunity for a Data Quality Analyst to join a growing function, helping to improve how business information is understood, recorded and controlled. … experience of SQL Server and T-SQL particularly beneficial. Understanding of data profiling techniques and the ability to investigate data quality issues. Familiarity with metadata management, data catalogues, business glossaries or data lineage. Exposure to Microsoft data and analytics tools, ideally including Azure Data Factory, Azure Synapse, Power ...

Security Strong cloud architecture experience within: Microsoft Azure (preferred) AWS or Google Cloud Platform Deep understanding of: Data warehousing Data lake architectures Master Data Management (MDM) Data modelling and metadata management Data integration patterns Experience designing enterprise-scale analytics and business intelligence platforms. Strong stakeholder management ...

Security Strong cloud architecture experience within: Microsoft Azure (preferred) AWS or Google Cloud Platform Deep understanding of: Data warehousing Data lake architectures Master Data Management (MDM) Data modelling and metadata management Data integration patterns Experience designing enterprise-scale analytics and business intelligence platforms. Strong stakeholder management ...

team is over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Data Modeller BU/Segment: Analytics/Data Management/Retail Location: Yorkshire , United Kingdom (Hybrid working) Employment Type: Permanent As a Data Modeller , you will play a key role in designing, developing … performance, and contribute to the definition of data modelling standards, automation and testing strategies. Success in this role requires strong technical expertise, excellent stakeholder management skills and the ability to work effectively both independently and within cross-functional teams. We are looking for someone who demonstrates leadership through innovation ...

Machine Learning and Fabric experiences to operationalise models and drive business insights.* Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability.* Collaborate with cross-functional teams: Work closely with business analysts … data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model.* Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery.* Stay ahead of the curve: Continuously learn and adapt to the evolving … environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable ...

alignment with government data strategies, architecture principles, and security requirements. Lead architecture discussions across multiple programmes and delivery teams. Provide technical leadership on data management, data integration, analytics, reporting, and Business Intelligence solutions. Support the implementation of robust data governance, metadata management, and data quality frameworks. Collaborate … Knowledge of modern analytics and BI technologies such as Power BI, Tableau, or similar tools. Strong understanding of data governance, data quality, lineage, and metadata management. Experience defining architecture standards, patterns, and best practices. Ability to engage with senior stakeholders and translate business requirements into technical solutions. Strong documentation ...

transform fragmented data estates into AI-ready foundations, advising on architecture decisions across cloud data platforms, lakehouse and warehouse patterns, data products, semantic layers, metadata, lineage, governance, knowledge graphs and GenAI retrieval patterns. This is a consulting role, not a purely internal architecture role. You will diagnose ambiguous client … credible depth in some of the areas that matter for AI-enabled data estates, such as governance, semantic modelling, lakehouse architecture, data products, metadata management, knowledge graphs, RAG or enterprise data strategy. Design AI-ready enterprise data architectures that enable analytics, AI, ML, GenAI and agentic applications ...

practices.Implement security-by-design in Snowflake: RBAC, tag-based governance (ABAC), dynamic data masking, row/column-level policies, Tri-Secret/external key management, network policies, Private Link, SSO/OAuth/MFA, audit trails, and access history.Embed data quality, observability, and lineage using Snowflake Horizon Catalog … access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/ ...

with cloud-based data platforms, ideally Microsoft Azure, with exposure to AWS or Google Cloud Platform considered advantageous. Knowledge of data orchestration and workflow management tools, such as Azure Data Factory, to support the efficient movement and transformation of data. Strong understanding of data warehousing concepts, data architecture principles … methodologies, including Git. Proven experience working with Databricks, including data ingestion, transformation and optimisation of large-scale data processing workloads. Understanding of data governance, metadata management and data quality frameworks, including experience with tools such as Great Expectations or similar data validation solutions. Knowledge of Unity Catalog, including ...

cases. Collaborate with enterprise and solution architects to align solutions with strategic technology standards. Evaluate new technologies and recommend improvements to existing platforms. Data Management and Governance Support implementation of data governance, quality, lineage and metadata management practices. Ensure data assets meet applicable regulatory, audit and control … hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving ...

Clearance . Extensive experience as a Data Architect within large-scale enterprise environments. Strong knowledge of: Data Architecture Frameworks Data Modelling Techniques Data Governance Metadata Management Data Quality Management Experience designing modern cloud data platforms using: Microsoft Azure AWS Google Cloud Platform (GCP) SQL Data Warehousing Data ...

Microsoft Fabric, Lakehouse/Data Warehouse architectures Knowledge Graphs & Semantic Technologies: Understanding of ontologies, taxonomies, RDF, OWL, SPARQL, graph databases, and semantic interoperability patterns. Metadata, Governance & MDM: Experience with metadata management, business glossaries, master data management (MDM), data lineage, and data governance frameworks. Enterprise Integration & Architecture ...

business. Working within the Data Governance team, the role partners with Data Owners, Data Stewards and wider governance functions to embed policies, standards, metadata, lineage, business definitions and data quality practices across all business domains. The role administers and maintains the Data Governance toolset, ensuring metadata, business glossary … content, data ownership, classifications and supporting governance artefacts remain accurate, complete and up to date. It also supports governance forums, working groups, data issue management and reporting, helping projects and business teams understand and evidence compliance with data policies and standards. The ideal candidate is an analytical and detail ...