1 to 25 of 177 Metadata Management Jobs in London

business objectives and strategic themes. Define the target data architecture and roadmap, considering scalability, performance, security, and cost-effectiveness. Stay abreast of industry trends and emerging technologies in data management and analytics. Data Modelling & Design: Design and implement logical and physical data models that support the analytical and modelling requirements of the platform. Define data dictionaries, data lineage, and … metadata management processes. Ensure data consistency, integrity, and quality across the platform. Data Integration & Pipelines: Define data integration patterns and establish robust data pipelines for ingesting, transforming, and loading data from diverse sources (e.g., APIs, databases, financial data providers). Work closely with data engineers to implement and optimise data pipelines within the Azure Databricks environment. Ensure data … procedures. Define data quality metrics and implement data quality monitoring processes. Ensure compliance with relevant data privacy regulations and security standards. Technology Evaluation & Selection: Evaluate and recommend appropriate data management technologies and tools for the platform. Conduct proof-of-concepts and technical evaluations to validate technology choices. Work with vendors and partners to ensure successful implementation of chosen technologies. More ❯

platform architectures as a foundation for advanced analytics development. Monitor and optimize data platform performance, scalability, and cost. Overseeing day-to-day operations of the data platform, including incident management, disaster recovery planning, and system updates. Designing and managing data lifecycle management, including versioning, archiving and retention policies. Work with analytics teams to develop data models and AI … GDPR, CCPA); ability to evaluate potential vulnerabilities and recommend mitigations. Ability to identify technical risks and performance bottlenecks, then devise strategies to mitigate or optimize. Understanding of data lineage, metadata management, cataloguing tools, data quality frameworks, and data stewardship processes. Basic knowledge of event streaming tools for real-time data ingestion and processing (Kafka or other). Drive … practices. Experience in evaluating third-party solutions, negotiate contracts, and build productive relationships. Ability to identify gaps in delivery plans and be able to mitigate through thought leadership and management skills. Education And Qualifications Graduate degree in Computer Science, Statistics, Information Systems or another quantitative field 5+ years of experience in a Data Architect Role, preferably working in cloud More ❯

Enterprise Data and AI Architecture Leader Enterprise Data and AI Architecture Leader We are a leading global asset management firm with over 3,000 employees across 20 offices in 15 countries; we help millions of investors around the world pursue their financial goals. We hire critical thinkers. People who thrive in a collaborative culture like ours where we solve … Master's degree in Computer Science, Engineering, or related technical field 8+ years of experience in enterprise data architecture or systems design Strong knowledge of data governance, lineage, and metadata management principles Proven experience with large-scale data migration projects and cloud transformation Deep understanding of enterprise architecture frameworks and methodologies Experience with financial risk systems and analytics … platforms Strong technical background in database platforms (Oracle, Snowflake) Understanding of cloud architecture principles (AWS preferred) Excellent communication and stakeholder management skills Ability to translate complex technical concepts for non-technical stakeholders PREFERRED CERTIFICATIONS Cloud platform certifications (AWS Certified Solutions Architect, Azure, GCP) Enterprise Architecture certifications (TOGAF, Zachman) Data Management certifications (CDMP, DAMA) Project/Program Management More ❯

single driver of public spending.We collaborate with and directly support departments to deliver the Government Finance Function strategy, building finance, debt and risk capability across government and developing the management information, tools, and frameworks to better understand and ensure value for money. The Group is committed to being an excellent place to work, with a relentless focus on good … management, learning and development and continuous improvement in everything we do. About the Team TheStrategy, Performance & Improvement (SPI) Teamis one of the central Government Finance Function (GFF) teams supporting over 9,000 finance colleagues across government. We set theFinance Standard (GovS006), monitor performance, and maintain a central library of best practice—theNOVA Functional Reference Modelto share, improve and drive … Standards, hosted in NOVA and engage with, support and lead on thefinancedata requirements and design for any future systemsrequired for central financial reporting within Government and HM Treasury. Showcaseexcellent metadata quality managementand embed effective processes and procedures in product lifecycles to drive high quality outputs and standards, utilising Project, and Programme Management methodologies, best practices, and ways of More ❯

and process improvements. Implement data quality monitoring frameworks to maintain KPI integrity. Translate analytical findings into clear, actionable insights for diverse audiences. Enforce governance standards for self-service BI, metadata, and data access. Lead user acceptance testing (UAT) and conduct training to promote solution adoption. Stay informed on emerging tools and techniques to enhance analytical capabilities. Qualifications and Skills … Project leadership, prioritization, and cross-team coordination. Stakeholder engagement and communication skills, especially with senior leaders. Experience mentoring analysts and improving analytical maturity. Understanding of data governance, lineage, and metadata management. Familiarity with data warehouse and data lake architectures. Experience with dashboard deployment and release processes. Knowledge of insurance data, especially within the London Market and Lloyd’s, is More ❯

architecture (Data Warehouses, Data Lakes, Dimensional Modelling, Streaming vs Batching, etc) Knowledge and understanding of key data strategy pillars across people, processes and technology Knowledge and understanding of Data Management principles, including Data Governance, Data Quality, Master and Reference Data Management, Metadata Management, Security and Compliance Strong experience in Data Warehouse methodologies Strong experience in SQL … options, etc) Good understanding of modern reporting platforms (dashboarding, advanced analytics, AI) An ability to explain complex problems in a simple and effective manner Strong peer and senior stakeholder management skills (including engagement with exec level sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience More ❯

Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Summary of the role: The Data Solutions Architect at EXL plays a strategic, client-facing role within our Data Management practice. This is a technical leadership position , focused on GCP , where you partner closely with senior stakeholders to modernise their data platforms, drive value from data, and accelerate cloud … Design and build robust data pipelines with Cloud Composer, Dataproc, Dataflow, Informatica, or IBM DataStage, supporting both batch and streaming data ingestion. Data Governance & Quality: Implement data governance frameworks, metadata management, and data quality controls using Unity Catalog, Profisee, Alation, DQ Pro, or similar platforms. Client Engagement & Advisory: Act as a trusted advisor to clients’ senior leadership (CDOs More ❯

data policies, standards, and procedures to govern data usage, access, and handling across the organization. Data Stewardship: Partner with data stewards who are responsible for data ownership, classification, and metadata management, ensuring compliance with regulatory requirements. Master Data Management (MDM) : Ensure accountability for the implementation and maintenance of MDM processes to uphold data integrity, quality, and compliance … with governance policies. Data Documentation: Maintain comprehensive data documentation, including data dictionaries, data catalogues, lineage, and data flow diagrams. Data Governance Technical SME: Maintain metadata within key Data Governance Platforms; Microsoft Purview & Profisee (MDM) Authority in Data Project Support: Lead data governance projects and initiatives as needed. Ensure that data projects align with key Data Governance principles through guidance … Spearhead and drive key initiatives across all dimensions of Data Governance, including: Data Minimization, Data Loss Prevention, Data Backups & Recovery, Data Quality, Data Classification, Data Catalogue & Lineage, Master Data Management, and Data Compliance. Data Training Delivery and Ownership: Empower and guide users in understanding data governance policies and adhering to the highest standards of best practices. Propose recommendations and More ❯

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to … strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect Expert Azure Data Engineer Associate Knowledge of Azure security & access management (Azure AD, Azure Policy) Experience with Azure DevOps and CI/CD practices More ❯

aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and Informatica. Establish enterprise-wide standards for master data, metadata, lineage, and data stewardship. Collaborate with business and domain architects to identify and support key data domains. Provide architectural oversight for major initiatives in data ingestion, transformation, and analytics. … Define data access, privacy, quality, and lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g. … focus on data, information, or analytics. Proven hands-on expertise with data platforms such as Azure Data Lake, Synapse, Databricks, Power BI, etc. Deep knowledge of data governance, MDM, metadata management, and data quality frameworks. Understanding of data protection and privacy regulations (e.g., GDPR, CCPA). Track record of developing and executing enterprise data strategies at scale. Strong More ❯

skills. Preferred Qualifications: Cloud certification (Azure Data Engineer, AWS Certified Database Specialty, etc.). Familiarity with NoSQL or NewSQL databases (MongoDB, Cassandra). Experience with data governance, MDM, and metadata management tools. Working knowledge of DevOps tools (Terraform, Git, Jenkins). #J-18808-Ljbffr More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

and engage with, support and lead on the finance data requirements and design for any future systems required for central financial reporting within Government and HM Treasury. Showcase excellent metadata quality management and embed effective processes and procedures in product lifecycles to drive high quality outputs and standards, utilising Project, and Programme Management methodologies, best practices, and … by building data systems to extract, transform, and load (ETL) data from various sources (e.g., MS Fabric or other). Lead and facilitate strong stakeholder engagement for effective Data Management, Data Integrity, and Data Governance, across Government and 3rd Parties but particularly with Functional and Department Data Leads. Engage and support Data communities to share knowledge and approaches, and … provide training, guidance, and support for Data Management best practices. About You You will be qualified in Digital Data Architecture – Experience delivering cloud platforms like AWS, Azure, or GCP, with relevant TOGAF qualification (e.g., Enterprise Architect, Data Scientist etc.) and Programming -Strong proficiency in SQL and other programming languages, such as Python or Java, with an associated qualification (e.g. More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organization. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities and primary deliverables Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (“as-is”) and future (“to-be”) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing … for Azure Databricks Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work More ❯

cycle, supports them in becoming truly data-driven, and in turn solves complex industry challenges faced across a variety of sectors. Here, you will become a specialist in data management, with projects spanning data governance, data ethics, data quality and data architecture, through managing and delivering work streams that expose the true value of clients' data. Additionally, you'll … are keen to strengthen their team and hear from you. Get a head start on the competition, and apply here today. What You Need: Solid professional grounding in data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with clients Company: Graduate Recruitment Bureau (Hiring for client) Location: London, UK Salary Notes: £55-70K Course Notes: Any considered with a preference for STEM subjects Jobs related More ❯

term scalability. Reporting to the Head of Data, this role will be responsible to define and maintain data standards, data models, and data governance frameworks to enable effective data management and analytics across the organisation. The ideal candidate will have strong expertise in data architecture, data modelling, and data governance, with hands-on experience in Azure Databricks and Unity … Catalog for metadata management and scalable data & analytics. Key responsibilities Define and enforce enterprise data architecture principles, policies, and standards in collaboration with the Head of Data. Develop and maintain current (as-is) and future (to-be) data architecture blueprints, ensuring alignment with business needs. Design and document conceptual, logical, and physical data models, optimizing for Azure Databricks … Lakehouse implementation and Unity Catalog integration. Implement and manage data cataloguing and metadata governance using Unity Catalog to contextualise data and ensure data discoverability, lineage, and compliance. Support Head of Data to define data access, security, and sharing policies for the enterprise and work with the engineering team to implement policies within Azure Databricks environments. Work closely with business More ❯

aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and Informatica. Establish enterprise-wide standards for master data, metadata, lineage, and data stewardship. Collaborate with business and domain architects to identify and support key data domains. Provide architectural oversight for major initiatives in data ingestion, transformation, and analytics. … Define data access, privacy, quality, and lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g. … focus on data, information, or analytics. Proven hands-on expertise with data platforms such as Azure Data Lake, Synapse, Databricks, Power BI, etc. Deep knowledge of data governance, MDM, metadata management, and data quality frameworks. Understanding of data protection and privacy regulations (e.g., GDPR, CCPA). Track record of developing and executing enterprise data strategies at scale. Strong More ❯

aligned with business priorities and regulatory frameworks. Lead architecture for enterprise data platforms such as Azure Synapse, Databricks, Power BI, and Informatica. Establish enterprise-wide standards for master data, metadata, lineage, and data stewardship. Collaborate with business and domain architects to identify and support key data domains. Provide architectural oversight for major initiatives in data ingestion, transformation, and analytics. … Define data access, privacy, quality, and lifecycle management policies at the enterprise level. Champion enterprise taxonomies, data product strategies, and federated governance. Stay informed on and assess innovations such as data mesh, lakehouse, and generative AI for enterprise applicability. Key Decision Areas: Defining the balance between centralized vs. federated data ownership and governance models. Selecting appropriate architecture patterns (e.g. … focus on data, information, or analytics. Proven hands-on expertise with data platforms such as Azure Data Lake, Synapse, Databricks, Power BI, etc. Deep knowledge of data governance, MDM, metadata management, and data quality frameworks. Understanding of data protection and privacy regulations (e.g., GDPR, CCPA). Track record of developing and executing enterprise data strategies at scale. Strong More ❯

designing scalable, high-performance data architectures on Azure and Databricks ? Do you thrive on solving complex data challenges, integrating modern data platforms, and defining best practices for enterprise data management? We are looking for a Data Architect to lead the design and implementation of cutting-edge data solutions in a cloud-native environment. You will play a key role … in shaping data strategy, designing high-level and low-level architectures , and ensuring the seamless integration of data management tools. If you enjoy working with big data technologies, governance frameworks, and modern analytics platforms , this role is for you! Key Responsibilities Design and architect scalable, secure, and cost-effective Azure Databricks solutions for business and analytical workloads. Translate business … into high-level and low-level solution designs , ensuring alignment with best practices. Define and implement enterprise data governance, security, and compliance strategies. Lead the integration of core data management capabilities , including: Master Data Management (MDM) solutions for single-source-of-truth data Data catalogue tools for metadata management and discovery Data governance frameworks for policy More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend … warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Familiarity with data governance and compliance frameworks (e.g., GDPR, HIPAA). Strong communication and stakeholder management skills. Analytical mindset with attention to detail. Ability to lead and mentor teams on best practices in data modelling. Preferred Skills and Qualifications: Certifications in data modelling, cloud platforms … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is More ❯

trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile … BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a “data passport” model — a metadata construct that travels with datasets across the estate, capturing critical attributes More ❯

trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile … BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a “data passport” model — a metadata construct that travels with datasets across the estate, capturing critical attributes More ❯