1 to 25 of 54 Remote/Hybrid Metadata Jobs

Title: Principal Metadata Management Lead Job Family: Data & Analytics/Data Governance Job Level: JG3 (Individual Contributor) Location: London (Hybrid) Reports To: Head of Enterprise Data Management (Data Excellence Office) Job Purpose The Principal Metadata Management Lead is accountable for defining/designing, implementing (through natural teams), and scaling enterprise … metadata management and data governance capabilities. The role ensures that data, analytics, and AI assets are discoverable, trusted, governed, and reusable across the organisation, enabling regulatory compliance, value from data, and AI-data readiness. The role acts as an established thought leader on metadata, cataloguing, and governance design, with ...

Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation ...

coexistence, and centralised models. Data modelling (conceptual, logical, canonical models) Data quality frameworks (profiling, cleansing, validation rules) Matching & survivorship logic, entity resolution, hierarchy management Metadata management, reference data management, and stewardship workflows Strong proficiency with cloud-native data services (Azure Purview/ADF, AWS Glue/Lake Formation, GCP DataPlex ...

Warehouses, Fabric Notebooks and Data Pipelines and Direct Lake semantic models Strong Python and PySpark development capability Solid SQL skills for warehouse development and metadata layers Proven ownership of production data systems end-to-end Wider Azure data platform experience (e.g. Synapse, Databricks) CI/CD pipelines within Azure ...

Integrator (ODI) Oracle Fusion Data Intelligence (FDI) Governance & Data Quality Ensure data quality, integrity, and compliance with governance frameworks Define and maintain: Data lineage Metadata Architecture documentation Align with regulatory standards (e.g. GDPR, SOX) Collaboration & Delivery Work closely with: Functional teams Enterprise architects DBAs and infrastructure teams Support reporting ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively identifying and mitigating ...

customers—whether next-generation innovations or custom-tailored adaptations. Take ownership of the full problem space, spanning data storage and pipelines through to APIs, metadata, and UIs Improve and extend existing products with new features, cost optimizations, and reliability enhancements, while addressing technical debt and ensuring alignment with the broader ...

Work With Azure Data Services: Data Factory, Data Lake, SQL Databricks: Spark, Delta Lake Power BI: Advanced dashboards ETL & Data Modelling: T-SQL, metadata-driven pipelines What you’ll do Design and implement scalable Azure-based data solutions Build and optimise data pipelines for integration and transformation Develop Power ...

against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable ...

Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge ...

technical teams Nice to have Experience with IAM/PAM tooling such as CyberArk, SailPoint, BeyondTrust or similar Exposure to data governance tooling, lineage, metadata or control frameworks Experience supporting production issues/operational processes Why apply This is a strong opportunity to work on a genuinely interesting programme where ...

Responsibilities Solution Data Design & Delivery Design and develop solution-level data models (conceptual, logical, and physical). Produce and maintain data dictionaries and metadata aligned with enterprise standards. Contribute to data impact assessments and define reusable data design patterns. Ensure alignment with Enterprise Data Model and Canonical Data Models . ...

integration and data transformation. Experience with Azure integration technologies such as Data Factory , Logic Apps , or API Management . Understanding of data governance, metadata, and data-quality frameworks. Experience with DevOps and CI/CD workflows. Desirable Skills Experience with ERP/CRM integration. Exposure to event-driven architectures. Experience ...

data concepts into clear requirements, delivery plans, and consumable documentation for technical & non-technical partners. Experience with data product management principles, including data modelling, metadata management, data quality, and lifecycle governance. Experience with data governance, privacy, and regulatory obligations relevant to enterprise data use. Strong partner management skills with ...

modelling consistency Essential Skills Strong experience designing conceptual, logical, and physical data models Knowledge of normalisation, denormalisation, and best-practice modelling techniques Understanding of metadata management, data governance, and data quality frameworks Proficiency with SQL and ideally one or more programming languages (e.g., Python, PySpark) Experience with database technologies ...

security-by-design, including encryption, access control, secure data movement, and compliance with regulatory requirements. Support data governance activities by ensuring consistent use of metadata, lineage, and cataloguing standards. Operational Excellence: Build resilient, high-performing data solutions capable of supporting financial reporting workloads. Develop and maintain reusable data engineering patterns ...

manage Purview scans, collections, and data maps for structured platforms including Azure SQL, Synapse, and Azure Data Lake Configure classifications, sensitivity labels, business metadata, and lineage for structured datasets Support the definition and implementation of structured data governance operating models, including ownership and stewardship Work with stakeholders to embed Purview ...

best practices aligned with organizational goals Collaborate with business and technical stakeholders to translate requirements into robust data solutions Support data quality, lineage, and metadata management initiatives Key Skills & Experience Essential: Proven experience as a Data Architect in complex enterprise environments Strong background in Customer Identity Resolution (CIR), including matching ...

data supports these processes and operations. Experience in creating technical documentation including system designs, technical specifications, system and data models. Clear understanding of metadata management including data lineage principles. Excellent communication and interpersonal skills with the ability to communicate technical information to non-technical stakeholders and convey business concepts ...

needs into platform features and actionable user stories. They will ensure alignment of platform capabilities with business processes and enterprise architecture. They will support metadata management, data quality initiatives, and compliance with data privacy and regulatory standards. Duties and Responsibilities Develop a deep understanding of customer processes, strategies, priorities ...

configurations, support routing decisions, and monitor performance in production. RAG Pipeline Engineering: Improve retrieval quality by working with chunking strategies, embeddings, search methods, and metadata filtering. Support onboarding of new knowledge sources. Quality & Hallucination Reduction: Help reduce incorrect or unsupported outputs through system design, testing, and monitoring. Apply practical approaches ...

integration pipelines Ability to explain data concepts clearly to non-technical stakeholders Working knowledge of Regular Expressions Desirable Coding for data manipulation Experience with metadata management tools (lineage, glossary/terms) Working pattern Hybrid : 2 days per week on-site in Sheffield Salary ...

governance, presenting at design forums and ensuring alignment with Bank-wide standards. * Shape secure data architectures across Azure services, including ingestion, validation, modelling and metadata design. * Partner with stakeholders across Technology, Data, Policy and Delivery to influence decisions and provide thought leadership. * Support procurement processes, vendor assessments and technical requirements ...

XBRL validation, SDMX or taxonomy-driven data models. * Experience integrating SaaS regulatory platforms with enterprise architectures. * Knowledge of SQL, large-scale data platforms and metadata-driven collections. * Experience designing hybrid architectures across on-prem and cloud environments. In return, you can expect a flexible working culture and benefits, including: * Hybrid ...

client, a major bank in New York City, is looking for Metadata Technical Analyst. New York City Location. This is hybrid commute, 2/3 days per week in the office. Must be authorized to work for ANY employer in US - NO H1 Visa support for this role Salary range … plus around 15-20% bonus, plus great benefits package. Metadata Technical Analyst In this role you will: Collect/document data lineage, data dictionary, processes and data flows across multiple domains Assist in the development and implementation of Metadata Standards and Procedures Collaborate across Data Domains, IT, Line of Business ...