51 to 75 of 159 Metadata Jobs

management, decommission and archive of data in compliance with data policy Provide input into data dictionaries Define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Day-to-day key tasks: Review and analyse the source data (Digital Media and Communications Data ...

resources, skills, knowledge and ideas · Extensive knowledge of data governance frameworks such as DAMA-DMBOK · Experience in using data management tools to capture business metadata such as data catalogues, glossary terms and lineage · Understanding of data modelling, data engineering and data architecture principles · Knowledge or experience of areas of compliance ...

Technical Expertise: Expert in Data Management best practice. You will hold a DAMA qualification and possess adeep understanding of the value and purpose of metadata management, data governance standards and procedures, data lineage, data ownership, and data quality best practice. You will also have expert experience in the application ...

testing metrics. Technical Environment You will be working within a cloud-hosted environment that includes: AWS (Amazon Web Services) SQL-driven validation and metadata frameworks Java Spring Boot applications AWS Cognito Identity and Access Management (IAM) solutions Government authentication and access management integrations What We're Looking For Essential Skills ...

management, decommission and archive of data in compliance with data policy * provide input into data dictionaries * define and maintain the data technology architecture, including metadata, integration and Business Intelligence or data warehouse architecture Key Tasks * Review and analyse the source data (Digital Media and Communications Data), and work with ...

mentoring teams and driving organisational change Experience with data governance tools such as Microsoft Purview (or similar platforms), including data catalogue, lineage, and metadata management capabilities Strong stakeholder engagement skills, with experience working across business and technical teams Minimum 5+ years’ experience in data governance, data management, or a related ...

management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Key Tasks Review and analyse the source data (Digital Media and Communications Data), and work with ...

tools, patterns, and technologies where they genuinely add value - balancing innovation with pragmatism Build robust, production-grade solutions , not proofs of concept Treat metadata, lineage, and data quality as first-class engineering problems Diagnose and resolve complex data and platform issues, often in constrained or imperfect environments Contribute ...

Experience Proven experience standing up or scaling a data product centre of excellence or similar capability in a global enterprise. Hands‐on familiarity with metadata management, lineage, observability and data quality platforms, and their integration into developer workflows. Experience with data architectures dedicated to specific areas and interoperability standards, enabling ...

enabled platforms and services. Data and knowledge readiness: Work with engineering, data, and business teams to prepare structured and unstructured data, improve metadata, design retrieval strategies, and identify gaps in source content. Security, privacy, and governance: Embed access controls, audit logging, data protection, responsible AI controls, security review, and compliance ...

focus on inclusive, team‐oriented delivery. Nice to Have Experience with document processing, transformation pipelines, or content structuring systems. Experience with entity recognition, metadata extraction, or semantic enrichment workflows. Familiarity with systems that process large-scale or complex content datasets. AI software engineering - specifications-driven development. Experience improving developer workflows ...

control in a complex, public‐sector environment. Data Governance, Quality and Assurance Establish and maintain robust group‐wide frameworks for data governance, data quality, metadata, lineage, ethics and compliance, working closely with security, information governance and data protection leaders. Ensure consistent standards and assurance across DFTO and TOCs, enabling comparability ...

Graph Team is a core part of Elsevier's Search and AI Platform . This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a Senior Software Engineer II , you will work with a passionate team that delivers scalable, reliable ...

Graph Team is a core part of Elsevier's Search and AI Platform . This team builds structured queries based on relationships and entity metadata hydration, enabling advanced traversal, discovery, and recommendation systems. As a Senior Software Engineer II , you will work with a passionate team that delivers scalable, reliable ...

solutions that improve researcher productivity and trust. Contribute to experimentation around prompt engineering, context management, grounding strategies, and hallucination mitigation. Support integration of scientific metadata, ontologies, and knowledge assets into AI workflows. Search, Retrieval & RAG Systems Design and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. ...

ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data ...

contractual obligations. Governance and Compliance; Ensure data architecture complies with internal governance policies and external regulations (e.g., GDPR). Support data stewardship and metadata management initiatives. Platform governance and activation of Purview capabilities will support data standards. Performance and Optimization; Monitor and optimize data architecture for performance, cost-efficiency … governance, public-cloud platforms (Azure, AWS, GCP) , SQL Server, data integration with third-party systems, ideally Microsoft Fabric Experience with data modelling and metadata management Experience in developing common data models for core business concepts Experience of CRM system migration or implementation would be beneficial Relevant degree or post-graduate ...

Azure DevOps, or GitHub Actions for version control, CI/CD, and collaborative data delivery. Robust understanding of data governance, data quality, and metadata management. Experience of communicating technical information and data to a non-technical audience and working collaboratively with analysts, architects, and product owners to deliver data solutions … data management capabilities to improve trust, accessibility, and efficiency in an organisation that has limited data management capability, lacks data management practices, including governance, metadata standards, and quality controls. Design, implement, and optimise physical data models that align with pipeline architecture, by using the approach that ensures efficient query performance ...

code quality and working with offshore teams Desirable: Experience in regulatory reporting or financial services Exposure to Tagetik or similar reporting tools Knowledge of metadata-driven or configurable data models This is an opportunity to play a key role in a large-scale data transformation programme with a strong focus ...

Warehouse, tables, views or connector-based integration patterns. Develop Terraform/IaC for AWS IAM, S3, KMS and Databricks-related configuration. Troubleshoot access, metadata, schema, query and connectivity issues across AWS, Databricks and downstream integrations. Technical Environment: AWS, Databricks, Unity Catalog, Palantir Foundry, Terraform, IaC, Delta, Parquet, CSV, JSON, Python ...

Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating reusable data frameworks, templates, modules. ...

solutions that deliver real value. Overseeing workflow, form, and automation development using Power Platform (Power Apps, Power Automate). Driving ECM best practice, from metadata standards to content lifecycle and user adoption. Providing technical leadership across ECM architecture, integrations, performance improvements, and migrations. Ensuring governance, compliance, and security standards ...

Work with Data Owners and Stewards to increase adoption and accountability Support data quality management, Goals, and issue resolution Maintain governance artefacts (catalogue, glossary, metadata) Coordinate governance forums and partner engagement Alongside this, you'll gain exposure to: AI governance activities (use cases, risk, lifecycle checkpoints) Integrate data ...

solutions that deliver real value. Overseeing workflow, form, and automation development using Power Platform (Power Apps, Power Automate). Driving ECM best practice, from metadata standards to content lifecycle and user adoption. Providing technical leadership across ECM architecture, integrations, performance improvements, and migrations. Ensuring governance, compliance, and security standards ...

understanding of enterprise IT architectures and corporate data strategies and solutions. Fluent with data types and formats, data access and delivery modes, data and metadata management, web and cloud‐based integration technologies, big data solutions, IT infrastructure deployment models, and enterprise‐class architectural topics like performance, scalability, security and governance ...