176 to 200 of 708 Permanent Metadata Jobs

validate proposed solutions. Translate client and market requirements into clear product specifications, including requirements for point-in-time integrity, historical depth, timestamps, revisions, identifiers, metadata, lineage, accessibility and interoperability. Evaluate new product opportunities by considering client demand, competitive differentiation, market size, revenue potential, development effort and strategic fit. Contribute ...

product strategies that deliver measurable commercial, client or operational outcomes. Understanding of enterprise data delivery models, including APIs, data feeds, cloud delivery, data platforms, metadata, identifiers, entitlements and data quality frameworks. Excellent communication skills, with the ability to articulate complex data, technology and private markets concepts clearly to senior stakeholders. ...

working with business owners to translate business requirements into technical specifications and solution designs that satisfies the data requirements of the business.Experience working with metadata management products such as Cloud Data Catalog and Collibra and Data Governance tools like DataplexExperience in developing solutions on GCP using cloud-native principles ...

platforms, data lakes, lakehouse patterns, and analytics platforms. Experience with Snowflake and/or equivalent enterprise data platforms. Solid grasp of data lifecycle management, metadata, lineage, governance, and information security in healthcare contexts. Experience designing architectures across multi-cloud or hybrid environments. Professional & Consulting SkillsExcellent stakeholder management skills, with ...

cloud data platforms, data lakes, lakehouse patterns, and analytics platforms.Experience with Snowflake and/or equivalent enterprise data platforms.Solid grasp of data lifecycle management, metadata, lineage, governance, and information security in healthcare contexts.Experience designing architectures across multi-cloud or hybrid environments.Professional & Consulting SkillsExcellent stakeholder management skills, with the ability ...

years' experience in data governance, data management, analytics, or digital media within a multi-market environment.Strong knowledge of data governance principles, including taxonomy management, metadata standards, data quality controls, and compliance processes.Experience working with digital advertising platforms (e.g., Meta Ads Manager, TikTok Ads Manager, DV360, Google Ads) and understanding ...

cloud data platforms, data lakes, lakehouse patterns, and analytics platforms.Experience with Snowflake and/or equivalent enterprise data platforms.Solid grasp of data lifecycle management, metadata, lineage, governance, and information security in healthcare contexts.Experience designing architectures across multi-cloud or hybrid environments. Professional & Consulting Skills Excellent stakeholder management skills, with ...

validate proposed solutions. Translate client and market requirements into clear product specifications, including requirements for point-in-time integrity, historical depth, timestamps, revisions, identifiers, metadata, lineage, accessibility and interoperability. Evaluate new product opportunities by considering client demand, competitive differentiation, market size, revenue potential, development effort and strategic fit. Contribute ...

internally developed tools and applications. Oversee the design, development, and maintenance of SAS-, R- and Python-based applications, packages, and utilities that support metadata-driven data models for automation of downstream clinical data activities. Personally architect and build core modules, reusable functions, and internal libraries/packages ensuring clean, modular ...

Architect, Senior Data Engineer, Lead Informatieanalist of Data Modeler). Kennis van gegevensarchitectuur, datakwaliteit en datagovernance (bijv. DAMA-DMBOK); Ervaring met datamodellering en metadata-management; Inzicht in complexe processen, ketens en wet- en regelgeving, bij voorkeur binnen (semi-)overheid; Kennis van of een achtergrond in data science en/ ...

troubleshooting skills. Ability to manage competing priorities with a focus on product quality, user needs and measurable outcomes. Knowledge of music repertoire, music metadata, rights or the wider music industry is advantageous. Minimum of 3 years’ experience in software engineering, AI, data, technology or a related role. Background building ...

architectural principles. Platform Reliability: Provide overall accountability for the resilience, scalability, performance and operational effectiveness of the data platform. Engineering Patterns: Promote reusable, metadata-driven and automated engineering approaches to reduce complexity and improve delivery efficiency. Azure Services and Cloud Data Engineering Provide strategic oversight of cloud-based data platforms ...

Engineering and Systems Engineering principles. Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure. Understanding of data governance, metadata management and information lifecycle management. Familiarity with Agile, Waterfall or hybrid delivery approaches.ð Qualifications & Professional DevelopmentDegree (or equivalent experience) in Business Analysis, Information Management, Engineering ...

Thread, Digital Engineering and Systems Engineering principles.Experience within highly regulated industries such as Nuclear, Defence, Aerospace, Transport or Critical National Infrastructure.Understanding of data governance, metadata management and information lifecycle management.Familiarity with Agile, Waterfall or hybrid delivery approaches.ð Qualifications & Professional DevelopmentDegree (or equivalent experience) in Business Analysis, Information Management, Engineering, Information ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

strategic objectives and long-term business needs.Lead the VO’s data governance framework, embedding clear accountability for data ownership, stewardship, quality, access controls and metadata to ensure data is effectively managed across the organisation.Drive delivery of the Data Strategy implementation plan, including the data maturity programme, ensuring progress is measurable ...

e.g. access controls, encryption) and validation rules so that the data used in AI is trustworthy and compliant.Metadata Management & Lineage: Implement frameworks for data metadata management and lineage tracking. This includes maintaining data catalogues or dictionaries that describe data meaning (possibly leveraging ontologies), and tools or processes to trace … protection techniques, ensuring compliance in how data is stored and used. Experience implementing data quality checks, defining data standards, and using or setting up metadata management tools will be useful.Communication & Teamwork: Excellent communication skills with the ability to collaborate in cross-functional teams. You should be able to translate complex ...

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 ...

physical data models for enterprise-wide initiatives.Build end-to-end data lifecycle event flows aligned to logical models and systems.Create and maintain comprehensive metadata, data dictionaries, and entity relationships.Translate business needs into scalable, compliant data structures.Champion data governance policies and standards.Model structured and unstructured data across relational and NoSQL databases.Implement ...

data models for enterprise-wide initiatives. Build end-to-end data lifecycle event flows aligned to logical models and systems. Create and maintain comprehensive metadata, data dictionaries, and entity relationships. Translate business needs into scalable, compliant data structures. Champion data governance policies and standards. Model structured and unstructured data across ...

/ML lifecycle. Strong leadership, stakeholder management, and problem-solving skills in regulated environments. Preferred Qualifications Hands-on familiarity with Generative AI, MLOps, metadata management, or Data Mesh/Products. Prior experience in financial services, risk, ratings, or highly regulated sectors. Randstad Technologies is acting as an Employment Business ...

best practice. Acting as an ambassador for data governance YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Data governance, data management, or metadata management. Data catalogue tooling experience Strong stakeholder management and business-facing communication skills. Experience working with SQL and/or Python alongside modern data platforms. ...

Data Architect, Data Solutions Architect or Data Management Architect within a large or regulated organisation. Strong knowledge of data governance, retention, deletion, metadata, data lineage and lifecycle-management principles. Experience defining data architecture standards, controls and reusable patterns for cloud or enterprise data platforms. Ability to translate policy, compliance ...