76 to 100 of 386 Permanent Metadata Jobs

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

and Exchange Information/Data Security, Governance, Management & Compliance including Data Privacy, Data Lifecycle Management, Legislation, Disaster Recover and Backup Data Architecture Design - Data Modelling, Master Data Management (MDM), Metadata Management and Data Governance API Management - Experience designing and implementing APIs (REST/JSON, SOAP/XML, GraphQL), including API lifecycle management, API gateways, HTTP transport and security such as More ❯

adoption and leading pilot projects. Establish reproducible research practices (Git, environments/notebooks) and deposit datasets/code in campus repositories with rich documentation; assign persistent identifiers and apply metadata standards per repository policy. Advise on research ethics/IRB and sensitive-data handling for AI/ML projects; coordinate with IRB where applicable. Support the Reference & Instruction team by More ❯

architecture governance. Establish and embed strong data governance frameworks and lifecycle practices. Work closely with a wide range of senior stakeholders Provide strategic and operational stewardship over data quality, metadata, and regulatory compliance processes. Drive continuous improvement in how data is governed, accessed, and utilised across the organisation. Experience & Background Proven experience leading data management or data governance functions. Background More ❯

involved in technical delivery. Key Responsibilities Lead on data modelling design and implementation across client programmes Create relational and dimensional models for enterprise data warehouses and analytics platforms Define metadata standards, data catalogues, and lineage documentation Collaborate with architects, engineers, and business stakeholders to ensure data models meet business needs Support data migration, governance, and transformation initiatives Your Skills and More ❯

to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis, and implement corrective actions. Experience developing and maintaining Data Dictionaries, Catalogues, and Business Glossaries. Excellent communication More ❯

to embed data quality into every initiative. What You'll Bring Proven experience in Data Quality Management and enterprise tooling (MS Purview). Strong understanding of data governance frameworks, metadata management, and master data principles. Ability to identify data issues, perform root cause analysis, and implement corrective actions. Experience developing and maintaining Data Dictionaries, Catalogues, and Business Glossaries. Excellent communication More ❯

reporting & dashboards. Primary Job Duties: Assist in managing Enterprise customer databases for lines of business users, collaborate with IT to direct the creation & implementation of new databases, data marts, metadata and data hierarchies for data warehouse, and analysis applications. Create line of business reports & dashboards using tool such as Business Objects and PowerBI. Design and maintain Business Objects universes to More ❯

from global corporations to government labs and academic researchers. Customers in over 100 countries Lead development of architecture, strategies, and policies around data governance in including master data management, metadata management, data quality, and Integrations. You will be part of a high-performance team chartered to deliver enterprise-wide solutions. In this role, you will be responsible for designing, implementing More ❯

Client Base: Exposure to diverse sectors and challenging projects from day one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading More ❯

Client Base: Exposure to diverse sectors and challenging projects from day one. What You'll Be Doing Designing end-to-end Microsoft Fabric architectures using the Medallion pattern. Building metadata-driven ingestion pipelines and optimising Delta Lake performance. Writing advanced PySpark/Spark SQL notebooks for large-scale transformations. Developing semantic models for enterprise reporting and enabling Direct Lake. Leading More ❯

practices, ensuring high-quality, reliable data is available for critical reporting, AI model training and data transformation. Ensure that data stewardship practices are applied to new data initiatives, including metadata capture, quality controls, and data privacy measures. Lifecycle Integration: Ensure that AI and data governance standards are fully integrated into the development lifecycle, from initial design through to deployment and More ❯

practices, ensuring high-quality, reliable data is available for critical reporting, AI model training and data transformation. Ensure that data stewardship practices are applied to new data initiatives, including metadata capture, quality controls, and data privacy measures. Lifecycle Integration: Ensure that AI and data governance standards are fully integrated into the development lifecycle, from initial design through to deployment and More ❯

portfolios, ensuring alignment with client requirements. Plan and implement the software, including installation, migration and configuration to meet client requirements. Define and configure workflows, user interfaces, access profiles, and metadata to standardize document classification and management. Training and support: Create and deliver training materials and workshops for end-users and client teams. Provide ongoing support and guidance to clients and More ❯

knowledge sources (documents, experts, systems, lessons learned, etc.) Capture tacit knowledge (know-how in people's heads) and explicit knowledge (documents, manuals, databases) Organize and classify knowledge using taxonomies, metadata, and content tagging for easy retrieval Implement and manage KM tools and platforms (knowledge bases, content management systems, etc.) Work with IT teams to ensure platforms are user-friendly and More ❯

data-driven decision-making. A customer-centric mindset, ensuring that data services meet and exceed user expectations while maintaining compliance and efficiency. Strong understanding of data governance, data quality, metadata, and master data management, including experience with relevant tooling. Deep knowledge of regulatory requirements and financial reporting. Commitment to leadership development themes such as: Empowerment: enabling teams to take ownership More ❯

data-driven decision-making. A customer-centric mindset, ensuring that data services meet and exceed user expectations while maintaining compliance and efficiency. Strong understanding of data governance, data quality, metadata, and master data management, including experience with relevant tooling. Deep knowledge of regulatory requirements and financial reporting. Commitment to leadership development themes such as: Empowerment: enabling teams to take ownership More ❯

. ETL development, APIs, and secure data transfer methods. Proficient in Microsoft Office and other computer software/databases. Compliance frameworks (HIPAA, FERPA, GDPR, IRB). Data governance principles, metadata standards, and data stewardship. Containerization and virtualization tools (Singularity, Docker, VMware). Scripting and programming languages (Python, R, Bash, SQL). HPC storage systems (GPFS, Lustre) and high-performance networking More ❯

data architecture* patterns (warehouse, lake/lakehouse, streaming, operational data stores) and reference designs aligned to business outcomes. * Own enterprise *data models* (conceptual, logical, physical), canonical data definitions, and metadata standards to drive consistency and reuse. * Architect *data integration* pipelines (batch and streaming) including ingestion, transformation, enrichment, and distribution with strong SLAs and observability. * Establish *data governance* controls (cataloging, lineage … to *translate* complex technical concepts into clear business value. *Preferred Skills * * Experience with *lakehouse* architectures, open table formats (e.g., Apache Iceberg/Delta), and data sharing patterns. * Familiarity with *metadata-driven* design, semantic layers, and BI acceleration techniques. * Exposure to *ML/AI data readiness* practices (feature engineering, data labeling, model data pipelines). * Infrastructure-as-Code (e.g., *Terraform*) and More ❯

data architecture* patterns (warehouse, lake/lakehouse, streaming, operational data stores) and reference designs aligned to business outcomes. * Own enterprise *data models* (conceptual, logical, physical), canonical data definitions, and metadata standards to drive consistency and reuse. * Architect *data integration* pipelines (batch and streaming) including ingestion, transformation, enrichment, and distribution with strong SLAs and observability. * Establish *data governance* controls (cataloging, lineage … to *translate* complex technical concepts into clear business value. *Preferred Skills * * Experience with *lakehouse* architectures, open table formats (e.g., Apache Iceberg/Delta), and data sharing patterns. * Familiarity with *metadata-driven* design, semantic layers, and BI acceleration techniques. * Exposure to *ML/AI data readiness* practices (feature engineering, data labeling, model data pipelines). * Infrastructure-as-Code (e.g., *Terraform*) and More ❯

and manage change requests. Conduct data analysis, profiling, and validation to ensure data quality and meet business needs. Strong skills in SQL, Python A solid understanding of data modelling, metadata, data quality, and data architecture principles is crucial. Experience with data modelling tools like Power Designer is an asset. Mandatory skill SQL, Python More ❯

pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloguing and reference data management Learning and applying RDF and semantic web concepts Collaborating with subject matter experts on data requirements This represents an excellent opportunity to secure a permanent More ❯