51 to 75 of 218 Metadata Management Jobs

stage, providing governance guidance and oversight before solution design activities commence. Assess whether projects have appropriately addressed data ownership, data quality, metadata management, and governance requirements before progressing through delivery. Participate in Salesforce Review Board discussions to ensure Salesforce-related initiatives align with enterprise data governance principles … before solutions are approved for production deployment. Ensure all relevant projects complete the required governance artefacts, including the Data Readiness Checklist (DRC) and Metadata Capture Template (MCT), prior to governance approval. Provide reviews and guidance to project teams so that governance requirements are understood, appropriately addressed, and delivered ...

scalability, resilience, security, performance, operability, and cost efficiency. Preferred Skills Experience with Cloud Composer or Apache Airflow, Dataproc or Spark, Dataform or dbt, and metadata-driven pipeline frameworks. Exposure to Terraform or another infrastructure-as-code tool. Knowledge of Dataplex, data governance, metadata management, lineage, and access … scalability, resilience, security, performance, operability, and cost efficiency. Preferred Skills Experience with Cloud Composer or Apache Airflow, Dataproc or Spark, Dataform or dbt, and metadata-driven pipeline frameworks. Exposure to Terraform or another infrastructure-as-code tool. Knowledge of Dataplex, data governance, metadata management, lineage, and access ...

Cabot Credit Management is seeking an experienced Enterprise Data Architect to lead the development and evolution of our enterprise-wide data architecture, ensuring that data remains a strategic asset that enables business growth, innovation and informed decision-making. This role will provide architectural leadership across data platforms, analytics … governance and information management, shaping how data is structured, governed, secured and utilised across the organisation. Working closely with Data, IT, Cloud, Information Security and Business Architecture teams, you will define the long‐term data vision, drive key enterprise initiatives and provide oversight of the data estate to ensure ...

Engineer with strong AWS expertise to support a strategic programme focused on enabling trusted data publication across DCC. You will design and implement governance, metadata, lineage and data quality capabilities, helping to improve dataset assurance, trustworthiness and publication readiness across modern cloud-based data platforms. This role offers … tomorrow, and achieve together. How you will contribute to transforming the smart energy network and shaping the future. Design and implement data governance, metadata management and lineage solutions that improve data discoverability, traceability and trust. Develop automated data quality controls, monitoring capabilities and remediation processes to improve data ...

Engineer with strong AWS expertise to support a strategic programme focused on enabling trusted data publication across DCC. You will design and implement governance, metadata, lineage and data quality capabilities, helping to improve dataset assurance, trustworthiness and publication readiness across modern cloud-based data platforms. This role offers … tomorrow, and achieve together. How you will contribute to transforming the smart energy network and shaping the future. Design and implement data governance, metadata management and lineage solutions that improve data discoverability, traceability and trust. Develop automated data quality controls, monitoring capabilities and remediation processes to improve data ...

transformation, and quality control processes within a cloud environment. Harmonise imaging, clinical, and biomarker datasets to create analysis-ready data products. Build automated validation, metadata management, and data quality frameworks. Develop production-grade Python solutions with strong testing, monitoring, and documentation standards. Partner with Data Scientists and Machine … requirements effectively. Experience working with imaging datasets or a strong academic background in a computational discipline. Desirable Experience Medical imaging experience including DICOM, annotations, metadata management, and de-identification processes. Google Cloud Platform expertise, including BigQuery, Cloud Run, GKE, and Cloud SQL. Experience with modern data formats such ...

project plans, agreed with the Data Platform Manager Implementation or coding Build data pipelines for data throughout the Azure Data Platform stages, integrating data management best practices at all stages (Azure Synapse, PostgreSQL, ADF, Python) Develop data sets which are optimised for their given use case, e.g. self-service … maintained Automation of end-to-end data flows Creation of data sets for analytics and data scientist team members Deployment Follow the release management process as agreed with the Data Platform Manager Design and implement an Agile work management approach Manage code quality and security policies by adhering ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex … modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex … modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers ...

represents a growing capability within Atos and currently comprises a talented team of analysts, developers, consultants and architects covering all aspects of the information management lifecycle; from data management through to business intelligence and analytics. The practice is technology agnostic and has capability across a range of technologies … Development Python PySpark SQL and T-SQL Spark SQL XML XSD (XML Schema Definition) XPath XSLT JSON REST APIs Data warehousing methodologies Master Data Management (MDM) Metadata management Data quality frameworks Data governance and lineage Significant experience designing and implementing enterprise-scale Azure data platforms. Strong hands ...

framework components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Airflow, including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenant & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...

clearance is mandatory The opportunity VE3 is looking for a hands-on Solution Architect to shape a secure, scalable enterprise information and knowledge management capability. You will translate business and technical needs into an implementable architecture covering data ingestion, information discovery, integrations, access controls, auditability and sustainable operations. Requirements … responsibilities End-to-end architecture . Define solution components, interfaces, deployment patterns, dependencies and non-functional requirements. Information discovery. Design metadata management, search/filtering, relationship navigation, reporting and export capabilities. Secure access. Specify identity integration, single sign-on where appropriate, role-based access, logging and audit controls. ...

will drive the implementation of enterprise governance frameworks, policies and practical guidance across all areas of Data Governance, including data ownership, stewardship, quality, classification, metadata, lineage, lifecycle management, access, safeguarding and risk. You will ensure governance approaches are proportionate, scalable and aligned to business, regulatory, cyber, architecture … DMBOK ISO/IEC 38505 ISO 8000 ISO 27001 NIST frameworks Data protection and privacy regulation Data sovereignty and information classification principles Data quality management Metadata and semantic management Information lifecycle and records management Benefits Generous Annual Leave Retirement Savings through the Rolls-Royce Retirement Savings ...

Data Management Lead London - Hybrid Up to £100,000 + bonus VIQU has partnered with one of the UK’s leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they … data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation’s data practices. ...

Define and govern data and application architecture standards. Establish best practice for conceptual, logical and physical data modelling. Develop and manage enterprise data models, metadata, services and data management structures. Create roadmaps for future data platforms, services and cloud migrations. Lead the resolution of complex data challenges … drive continuous improvement. Provide line management and leadership to Data and Application Architects. Key Skills & Experience Extensive experience developing conceptual, logical and physical data models. Strong background delivering Master Data Management (MDM), Information Lifecycle Management (ILM), data integration, OLTP and OLAP solutions . Significant experience working within ...

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

protected and compliant with regulatory requirements. Working across business and technology functions, you will define the standards, policies and controls that underpin effective data management while supporting the organisation's growing use of analytics, automation and AI. You will act as the central point of expertise for data governance … will: Lead the development, implementation and continuous improvement of the firm's data governance framework. Define and maintain data quality standards, ownership models, metadata management and data lineage documentation. Drive data classification and access control practices across case management, finance and CRM systems. Establish and monitor data ...

# Data Management Lead - Settlement & Clearing (T+1 Transformation)ManchesterApply for this job* Permanent* Experienced Professionals* Data & AI* ID 592308-en\\_GB**Job Title**: Data Management Lead - Settlement & Clearing (T+1 Transformation)**Location**: Manchester**About the Job you are considering:**We are seeking an experienced Data Management Lead with … governance, operational transformation, and business process optimization across post-trade functions.This role requires hands-on experience in SWIFT messaging, CREST settlement processes, trade lifecycle management, clearing and settlement operations, as well as expertise in enterprise data management platforms such as Snowflake and cloud-based Generative AI solutions ...

essential; curiosity and willingness to learn will help you shape and lead this emerging capability with AI and architecture colleagues. Core Responsibilities Business stakeholder management: Build trusted relationships with senior business stakeholders to understand systems integration needs and data governance priorities. Translate these into clear requirements, agree delivery priorities … shared understanding between business and technical teams. Systems integration SME and design assurance: Guide the development and maintenance of systems integration and master data management architecture with architects. Review and validate end‐to‐end designs, mappings and workflows, assessing integration patterns, API strategies, messaging protocols, data consistency, transformation ...

Title : Data Management Lead - Settlement & Clearing (T+1 Transformation)Location : ManchesterAbout the Job you are considering:We are seeking an experienced Data Management Lead with deep expertise in Securities Settlement, Clearing Operations, and T+1 Transformation Programs to lead data-driven initiatives supporting the transition to accelerated settlement cycles. … governance, operational transformation, and business process optimization across post-trade functions.This role requires hands-on experience in SWIFT messaging, CREST settlement processes, trade lifecycle management, clearing and settlement operations, as well as expertise in enterprise data management platforms such as Snowflake and cloud-based Generative AI solutions ...

maintain data roadmaps aligned with organizational goals and technology strategies. Establish data architecture principles that promote scalability, performance, security, and accessibility. Data Integration & Management Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources. Define and implement data flow, transformation, and storage … accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management ...

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: Were 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 ...