151 to 175 of 188 Metadata Management Jobs

from legacy platforms. Design and build scalable AWS-based data pipelines and data products. Ensure alignment with enterprise architecture, security, governance, lineage, and data management standards. Support downstream consumers, including Fraud Analytics teams, during migration and adoption. Expected capabilities may include: Data product design and delivery AWS data engineering … Databricks, etc.) Data pipeline design, build, and testing Teradata and Hadoop migration expertise Data modelling and business data product design Data governance, lineage, and metadata management Enterprise architecture and security alignment End-to-end delivery from design through production deployment If you are interested in this position ...

Familiarity with enterprise data platforms and data mesh principles, including domain-aligned datasets and well-defined data contracts Exposure to data quality, observability, and metadata management practices and tools (data validation frameworks, lineage, monitoring, and alerting) Experience enabling analytics, reporting, and AI/ML workloads through curated datasets ...

including knowledge transfer and service readiness. Skills & Experience Proven experience delivering complex technology or data transformation programmes. Strong stakeholder, vendor, and cross-functional team management skills. Experience with Agile delivery methodologies. Solid understanding of Data Governance, Metadata Management, MDM, and Data Quality. Experience implementing tools such ...

security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy. •Define enterprise data platform standards and operational best practices. •Guide warehouse sizing, workload management, performance tuning, and cost optimization. •Design event-driven architecture using Confluent Cloud. •Define topic governance, schema management, security controls, HA/… 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 ...

team in London, London, City of (GB-LND), United Kingdom (GB).Job Description Implements and supports content-related configurations and data pipelines, ensuring structured metadata and reliable delivery. Key Responsibilities Design and maintain schemas, mappings, and validation rules for content. Build/operate ETL/ELT jobs; ensure data … release readiness. Automate checks and monitoring; maintain documentation. Qualifications & Skills Bachelor’s in CS/IT or Data Engineering. SQL, Python or ETL tools, metadata management, version control. Experience 4–7+ years in data/content configuration engineering. About NTT DATANTT DATA is a $30 billion business ...

forward so you can thrive professionally and personally. What this job involves: This position will be responsible for Data Governance initiatives such as metadata management and performing analysis on Capital Markets data in order to propose quality rules and data standards that will improve overall Data Quality within … standards, defining, and recording relevant attributes, and documenting the data standards landscape. Partner with Capital Markets product and engineering teams in the kickoff and management of various data ownership governing bodies. Develop business requirements documents for business needs and proposed enhancements to Data Governance components. Drive awareness and adoption ...

problems together.Minimum requirements:Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

problems together.Minimum requirements:Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

problems together.Minimum requirements:Experience across UK Healthcare sector or Public SectorStrong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.Track record of providing technical leadership within data projects including assurance, mentoring and standards definition. Aware ...

models, data readiness for LLMs)Working knowledge of how AI/ML solutions depend on data integration, data quality, data governance, and metadata management—especially relevant to Precisely’s portfolioExperience leveraging AI tools (e.g., copilots, predictive analytics, account intelligence platforms) to improve Pipeline generation, Deal qualification, Forecast accuracy ...

working in Reading and has been determined inside IR35.Skills & experience looking for: Data Architecture and Enterprise Data Design Databricks Syndigo Collibra Data Governance and Metadata Management Data Integration and Modern Data Platforms Stakeholder engagement across business and technology teams Desirable: Teradata Power BI Tableau Data migration or transformation … programmes Master Data Management (MDM) If this sounds relevant to your background please send across your latest CV and I will be in touch directly to discus in more detail.Best,Connor ...

full right to work in the UK About the Role We're seeking a Data Governance Consultant/Lead with experience in enterprise data management and information governance. This role suits a confident, senior-facing practitioner who can engage directly with business stakeholders and drive governance maturity across … data policies, and governance metrics Lead data maturity assessments and define frameworks to track progress What You'll Bring experience in enterprise data management/information governance Deep expertise in DAMA-based governance practices, including ownership and stewardship models Proven track record building TOMs, data policies, metrics, and maturity ...

join usJoining Sainsbury's as a Metadata & Data Quality Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. As part of our team, you will have the chance to manage and optimise the Group Data Catalogue, implementing … part of a dynamic and forward-thinking environment that values excellence, collaboration, and professional growth.What you'll doTo drive and deliver the operational management of ‘assured data’ across the organisation, by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, to ensure analytics, insights ...

multiple data sources (cloud storage, relational DBs, APIs, event streams) and implement robust ingestion patterns.Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing).Create clear documentation for pipelines, data contracts, and operational runbooks.Leverages enterprise-authorized AI coding assist tools within the work ...

Title: Senior Analytics Engineer Location: London (Hybrid) Salary: £75,000 - £95,000 DOE Industry: Investment Management The Opportunity I'm currently working with a leading global private markets investment firm, as they continue to invest in and expand their internal data capability. With over €20 billion of assets under … management and investment strategies spanning Europe and North America, they are committed to using technology and data to drive smarter decision-making and long-term value creation. As part of an exciting period of growth, they're looking to hire a Senior Analytics Engineer to play a key role ...

handle highly concurrent, I/O-bound LLM and database calls. Advanced Context Engineering: Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.Modern Software Practices: Mastery of Git, automated testing and CI/ ...

next frontier is AI. For agents to be effective with data, they need more than raw tables and APIs. They need context: catalog metadata, schemas, lineage, ownership, quality signals, permissions, relationships, usage patterns, and business meaning. We are building the semantic and experiential foundation that will allow both humans … love to see:Experience building developer platforms, internal tools, control planes, data platforms, cloud platforms, or engineering productivity products. Familiarity with data catalogs, metadata platforms, semantic layers, lineage systems, knowledge graphs, or search and discovery experiences. Familiarity with technologies such as Kubernetes, Trino, Spark, notebooks, or lakehouse architectures. Experience ...

specific data lifecycle framework aligned with DAMA, FAIR and ALCOA+ principles. Develop the core governance framework, including policies and standards for data classification, quality, metadata, lineage and traceability. Create practical playbooks and operational guidance for data owners, data stewards, data producers and governance forums. Assess current governance maturity across … escalation processes. Strong transformation and change leadership skills, including executive engagement, multi-function co-design, communications, training and adoption planning. Experience of data quality, metadata management and lineage platforms, with previous delivery of governance pilots or large-scale implementations highly desirable. ...

transactions, equities, and fixed income.Experience in regulatory reporting, risk, compliance, or audit-driven environmentsKnowledge of non-financial regulatory domainsFamiliarity with data governance tools and metadata management platformsExperience with event-driven architectures or streaming platforms (e.g., Kafka, Flink)Exposure to containerisation and orchestration (Docker, Kubernetes)Strong understanding of controls ...

join us on our journey.The GIS Lead is responsible for managing the design, implementation, and maintenance of the GIS infrastructure. This includes developing management plans to govern GIS data collection, database management, spatial analysis, and mapping projects. The GIS Lead ensures the effective integration of GIS technology into … responsible for:Digital transformationDefine the strategic direction of GIS services within Mace Consult, ensuring alignment with the consultancy’s digital, BIM, information management and wider business strategies. Manage innovation in GIS applications for construction and infrastructure projects, identifying new use cases that improve delivery, assurance, asset insight and operational ...

retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.LLM-Powered Analytics - Prototype LLM-enabled features for summarisation, insight narration, and conversational analytics … architectures, and embedding-based retrieval.Experience with containerisation (Docker) and/or CI/CD pipelines.Exposure to data modelling (including dimensional modelling) and/or metadata management.Why Fitch At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together ...

customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, standard methodologies, project management and risk mitigation. *Work closely with AWS Platform Service Engineering and Architecture teams to help ensure the success of project consulting engagements with customers. … analytics workloads- Modern data platform design and implementation- ETL/ELT pipeline development and optimization (Glue, EMR)- Data warehousing solutions (Redshift)- Data catalog management and metadata governancePreferred qualification - Experience in IT implementation- Data quality and lineage frameworks- Data security, compliance, and access controls- Performance optimization for data processing ...

analytics workloads- Modern data platform design and implementation- ETL/ELT pipeline development and optimization (Glue, EMR)- Data warehousing solutions (Redshift)- Data catalog management and metadata governance- Data quality and lineage frameworksPreferred qualification - Experience and technical expertise (design and implementation) in cloud computing technologies- Experience in large scale ...

routine audits to maintain high levels of data quality.Cross-Functional Coordination: Collaborating with IT, data engineering, and business leads to ensure data definitions, metadata standards, and quality benchmarks are uniformly applied across the marketing organization.Integration and Data Pipelines Across MarTech/AdTechData Consolidation: Establishing integration architectures that consolidate data … into a single source of truth, such as a centralized data fabric, which enhances marketing personalization and measurement.Pipeline Management: Designing and monitoring reliable data pipelines that can support real-time analytics, reporting, and feed into machine learning or AI-driven decision-making tools.API and Interoperability Standards: Ensuring that integration ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly ...