76 to 100 of 383 Permanent Metadata Jobs

Fixed Income SMEs to co-design an interconnected data model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling requirements to stakeholders, and drive … alignment across metadata/modelling functions to ensure practices are well understood & followed. Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions. Promote FAIR data principles across the modelling lifecycle. You'll need to have: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who … are able to demonstrate the skills necessary for the role. 4+ years of experience working with data modelling, metadata design, or semantic data structures Proven ability to work with messy, heterogeneous data sources and convert them into harmonized, queryable formats Strong communication skills, with the ability to influence and drive alignment across technical and business stakeholders Experience working in cross More ❯

solving Collaborate, test, and assist others in development and use of geospatial standards. Responsible for progressing and maintaining official description of enterprise datasets Support the capture and management of metadata and information sources from across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Work with GEOINT standards Data Modeling languages to support the life cycle management of … evolving data standards supporting AGENCY and NSG initiatives and acquisition programs. Applying naming standards, and metadata standards, checks models in and out of Model Repository, and documents data model translation decisions Support updating and managing MySQL, MS-ACCESS structures (Table, Columns) and content Experience in the use of existing OGC standards and industry best practices related visualization, features, spatiotemporal data … metadata catalogs, and coordinate reference systems. Working knowledge of the following software language, GitLab or GitHub, HTTP REST API's, XML and JSON. Working knowledge of a logical query expression such as SQL, XML or JSON filters Skills and Experience: Required Skills and Tasks: Active TS/SCI clearance Experienced technical writer Working knowledge using MySQL or other relational databases More ❯

governance capabilities across classified and unclassified environments. This role is central to advancing the Department of Defense's (DoD) data strategy through the creation and enhancement of scalable APIs, metadata interfaces, and data pipelines. In this position you will: Design, develop, and maintain APIs for the DoD Federated Data Catalog, enabling metadata exposure for datasets and AI models. Integrate external … standards with public sector platforms (e.g., data.gov ). Enhance discoverability and monitoring of AI solutions by supporting model registration, feature store development, and enterprise-wide performance tracking. Implement automated metadata card strategies aligned with data mesh principles and DoD/CDAO policies. Support self-service data quality integrations, enabling users to define and enforce data quality rules. Collaborate with Agile … Azure, or GCP) preferred; security clearance eligibility and experience with DoD or government systems advantageous Preferred Qualifications: Experience with API development in secure, federated environments. Familiarity with data cataloging, metadata standards, and AI/ML model governance. Proficiency in Agile methodologies and DevSecOps practices. Understanding of attribute-based access control and policy-as-code frameworks. Other: Must have an active More ❯

of researchers and engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments on data to derive insights. Create visualizations and summaries to communicate data insights to researchers and leadership. Work with legal and trust teams to … experiments. Preferred Qualifications Experience with databases and data warehousing (Hive, Iceberg). Data transformation skills (SQL, DBT). Experience with orchestration platforms (Airflow, Argo). Knowledge of data catalogs, metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn, Plotly, R. More ❯

physical systems, ensuring secure and 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 evaluations, risk assessments, and financial More ❯

expertise in implementing and managing MDM solutions, with a deep understanding of both operational and technical aspects, including architecture. Proficiency in designing robust master data models and architecture , managing metadata , and optimizing the data lifecycle to ensure accuracy and consistency across systems. Solid experience with agile project management and change management , with the ability to lead cross-functional teams in More ❯

visualization solutions -using tools like AWS QuickSight and Looker. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Model data and metadata to support the reporting pipelines and automate the manual reporting solutions. - Understand trends related to business metrics and recommend strategies to stakeholders to help drive business growth. Reporting of key More ❯

Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories Track record of running successful demos, Evaluations , and More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data stewardship. Provide … support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts like data dictionaries, classification More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data stewardship. Provide … support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts like data dictionaries, classification More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data stewardship. Provide … support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts like data dictionaries, classification More ❯

best practices and improve how data is catalogued, classified, and managed across the organisation. What you’ll be doing Supporting and improving data cataloguing and classification , helping to organise metadata and build data dictionaries. Working with stakeholders across the business to establish and embed governance frameworks. Ensuring sensitive and security-critical information is appropriately classified and managed. Promoting a culture … Contributing to documentation and data lineage activities to improve visibility and control. What we’re looking for Experience in data governance, data quality, or information governance roles. Understanding of metadata management, data dictionaries, and classification of sensitive data. Familiarity with governance tools like Microsoft Purview (or similar), though not essential. Excellent communication and stakeholder engagement skills – we’re looking for More ❯

will ensure our systems adhere to robust data architecture principles, frameworks, and best practices. Your role spans developing technical roadmaps, defining data policies, and driving consistent modelling, governance, and metadata standards. You will be able to build effective partnerships with diverse teams across multiple locations and technologies. If you have a passion for using data to create secure, high-impact … ways of working across government. By collaborating with technical teams, you'll ensure that conceptual, logical, and physical data models are fit for purpose, leveraging next-generation cloud technologies, metadata solutions, and best-in-class analytics. You'll also advise on advanced topics like master data management and data lifecycle strategies, helping project teams handle complexity at scale. Beyond guiding … available. Person specification You'll have a demonstrable passion for enterprise-scale data architecture, with the following key abilities or experience: Deep expertise in multiple database technologies, data integration, metadata management, and advanced analytics, exploiting data across complex technical domains. Data leadership: guiding cross-functional teams in good data modelling, database management, and governance principles. Strategic planning: defining and maintaining More ❯

you will be responsible for all data management related to the Continuous Water Quality Monitoring programme (CWQM). The CWQM Data Manager will ensure continuous water quality data, and metadata related to the delivery and management of CWQM data are appropriately collected and stored. The data will be used internally and externally, andit must bes managed and stored effectively and … a way that is easily accessible and interpretable. What you'll be doing as a Continuous Water Quality Monitoring (CWQM) Data Manager Manage water quality data from CWQMs and metadata related to CWQM, including asset maintenance records, geospatial, installation, downtime, supporting evidence, and photographic data. Develop and maintain databases for storing and tracking water quality data and the metadata associated More ❯

SQL and AWS Define and enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices such as IAM, RBAC, Collibra More ❯

EA. Designed detailed solutions aligned with project standards and customer requirements, ensuring architectural consistency. Led data architecture and management activities across the full data lifecycle, including governance aspects like metadata, lineage, and data quality. Provided technical guidance to team members for enhancements and production support, ensuring high-quality deliverables. Engaged in hands-on development using tools such as SAP Data More ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

DB and more Making informed decisions on the strategic direction and roadmap for the use and implementation of cloud platforms and DevOps methodologies. Design scalable and efficient data models, metadata systems, and data catalogues aligned with business objectives. Optimise performance and resolve issues to ensure data accessibility and responsiveness. Provide guidance and oversight to project teams on data architecture and More ❯

data sets and visualizations as necessary, leveraging best practices to enhance reporting and analytics quality. Performing various data-related tasks such as extraction, scrubbing, and transformation, along with maintaining metadata and data dictionaries Assistance pinpointing data issues, implement data fixes, perform manual extracts, etc. Tracking, monitoring and making updates to user stories directly in the Atlassian Jira tool. Identifying the More ❯

working. With confidence in data integration design, you establish standards, keep them up to date, and ensure adherence to best practices across industry and government. You can identify how metadata repositories support different areas of the organisation and set up robust governance processes to maintain accuracy. Problem-solving is a strong suit, including anticipating challenges, understanding their broader impact, and More ❯

working. With confidence in data integration design, you establish standards, keep them up to date, and ensure adherence to best practices across industry and government. You can identify how metadata repositories support different areas of the organisation and set up robust governance processes to maintain accuracy. Problem-solving is a strong suit, including anticipating challenges, understanding their broader impact, and More ❯

working. With confidence in data integration design, you establish standards, keep them up to date, and ensure adherence to best practices across industry and government. You can identify how metadata repositories support different areas of the organisation and set up robust governance processes to maintain accuracy. Problem-solving is a strong suit, including anticipating challenges, understanding their broader impact, and More ❯

working. With confidence in data integration design, you establish standards, keep them up to date, and ensure adherence to best practices across industry and government. You can identify how metadata repositories support different areas of the organisation and set up robust governance processes to maintain accuracy. Problem-solving is a strong suit, including anticipating challenges, understanding their broader impact, and More ❯

leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of emerging More ❯

needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, data stewardship roles, and classification models Designing scalable data architecture that integrates corporate services and operational data systems Architect data pipelines and semantic layers to support BI, advanced analytics … diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale data strategy experience Expertise in data governance, data modelling, metadata management Strong understanding of Azure or Data Factory, Synapse & Data Lake Ability to translate complex data concepts into business-aligned strategies and actionable outcomes Hays Specialist Recruitment Limited acts as More ❯