51 to 75 of 492 Permanent Metadata Jobs

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

Understanding of Power BI integration, focusing on data modelling and enabling governed self-service analytics. Well-versed in data architecture principles such as modelling, metadata, data quality, lineage, and access control, aligned with privacy and compliance standards. Experience working in Agile environments, supporting iterative delivery while maintaining architectural integrity. Stakeholder More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

What You'll Bring: Senior-level experience in data, analytics, or governance (financial services a plus) Strong knowledge of data governance, data quality, and metadata management Proficiency in Power BI, SQL, and Azure-based platforms (Synapse, Data Factory, Databricks) Familiarity with data regulations (GDPR, FCA) and SMCR environments Bonus points More ❯

Assist in reviewing data models and integration designs for adherence to established data architecture standards. • Support the development and maintenance of data dictionaries and metadata repositories, including researching definitions, validating data elements, and documenting business rules. • Participate in data governance initiatives, tracking action items and supporting the implementation of data More ❯

of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right More ❯

efficient data storage. • Analyze system requirements and develop strategies for migrating and integrating existing data. • Lead the design, implementation, and maintenance of databases and metadata structures, ensuring integration with corporate standards. • Stay informed of industry trends in database technology, providing strategic recommendations to improve performance and scalability. • Conduct database performance More ❯

execution of investments and initiatives, ensuring they meet quality and outcome expectations. Deliver a cohesive Group Data Model to ensure consistent master, reference, and metadata across processes and systems. Collaborate with market analysts, vendors, and partners to identify technological opportunities, providing thought leadership on Data Strategy and related topics. What More ❯

multiple on-premise and cloud-based systems (ERP, CRM, APIs, flat files, etc.) Governance & Quality - Defining and enforcing data quality standards, lineage tracking, and metadata documentation. Championing the use of Azure Purview or similar tools for data cataloguing and governance. Power Platform Alignment - Managing integration between 3rd Party, Azure data More ❯

management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and More ❯

validation and pipeline testing frameworks to ensure data reliability and accuracy. Design and execute test cases for ETL/ELT workflows, data transformations, and metadata-driven data pipelines . Validate platform engineering components , including infrastructure automation, CI/CD pipelines, and cloud-based data services . Collaborate closely with data More ❯

analysis, and risk analysis Java, Python AWS and AWS tool suite for data management optimization Knowledge of enterprise data strategy, data governance, data architecture, metadata management, and performance measurement techniques. Experience in full life-cycle software development projects. Desired Qualifications Ability to effectively communicate technical information to non-technical audiences. More ❯

Bachelor's degree required. 6 years in Data Management including Data Strategy, Big Data, Data Quality, Data Modeling, Data Governance, Data Integration/ETL, Metadata Management, and Data Security. Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is More ❯

to HQ and field users, assisting them with technical issues and ensuring smooth system operations. System Auditing. Audit system content for missing or inappropriate metadata, report technical issues, and ensure timely resolution of problems. Data Delivery & Documentation. Ensure that data delivery and implementation processes are scheduled, documented, and processed efficiently. More ❯

in BI/Digital Reporting. Expert knowledge of BI solutions and their component tiers: Data Integration/ETL, Data Warehouses/Marts, Business/Metadata layers, Dashboards/Reports, etc. A diversity of skills and knowledge of federal financial and procurement management best practices, solutions, innovations, standards and configurations across More ❯

Architecture and blueprints aligned to business goals and operational needs. * Where required, using Retail Industry Data Models, define relevant standards for data designs, models, metadata, contracts and data quality. * Design conceptual and logical data models to support business applications, repositories and data movement. * Co-ordinate these activities with our technology More ❯

to ensure the opportunities and impacts of new features are fully exploited and understood, and contribute to the creation, maintenance, promotion and use of metadata resources such as Data Dictionaries and Data Lineages. Proactively engage with the business regarding projects and ensure that Data principles are being adhered to, and More ❯

and Pandas. ·Experience with any flavour of data pipeline and workflow management tools: Dagster, Celery, Airflow, etc. ·Build processes supporting data transformation, data structures, metadata, dependency and workload management. ·Experience supporting and working with cross-functional teams in a dynamic environment. ·Strong communication skills to collaborate with remote teams (US More ❯