1 to 25 of 446 Metadata Management Jobs

specifically focuses on the foundational technology and will feed the larger ISR Digital Transformation Strategy, encompassing all aspects of the ISR enterprise. Scope: A qualified candidate will deliver professional management, system analysis, and technical assistance support services for daily Strategic Data Initiatives at Headquarters, Air Force (HAF). This includes, but is not limited to, activities related to governance … strategic planning, enterprise architecture, capability portfolio management, solutions analysis, solution implementation planning, performance and risk management, IT service management, systems engineering, innovative project management, data and analytics, training, program analysis, policy analysis, information technology analysis, and administrative technical support. Additionally, the candidate will offer Data Architecture expertise to support existing, ongoing, and expanding programs, projects, technologies … SCI Clearance Location: • National Capital Region (2 days in the office) Travel: • TDY travel is required as requested by the government. • Soft Skills: • Speaking and presenting • Planning and project management • Analytical thinking and problem-solving skills • Cooperation and unity of purpose • Flexibility and ongoing education • Task management • Leadership and management skills • Adaptability • Data assessment and management More ❯

specifically focuses on the foundational technology and will feed the larger ISR Digital Transformation Strategy, encompassing all aspects of the ISR enterprise. Scope: A qualified candidate will deliver professional management, system analysis, and technical assistance support services for daily Strategic Data Initiatives at Headquarters, Air Force (HAF). This includes, but is not limited to, activities related to governance … strategic planning, enterprise architecture, capability portfolio management, solutions analysis, solution implementation planning, performance and risk management, IT service management, systems engineering, innovative project management, data and analytics, training, program analysis, policy analysis, information technology analysis, and administrative technical support. Additionally, the candidate will offer Data Architecture expertise to support existing, ongoing, and expanding programs, projects, technologies … SCI Clearance Location: • National Capital Region (2 days in the office) Travel: • TDY travel is required as requested by the government. • Soft Skills: • Speaking and presenting • Planning and project management • Analytical thinking and problem-solving skills • Cooperation and unity of purpose • Flexibility and ongoing education • Task management • Leadership and management skills • Adaptability • Data assessment and management More ❯

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 ❯

promote the value of data across business and technology teams. Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices. Maintain comprehensive architecture documentation for metadata, data lineage, and data governance. Essential Skills & Qualifications Extensive experience architecting enterprise data solutions and designing scalable data platforms. Proven expertise in data modeling (conceptual, logical, physical), metadata management, and master data management (MDM). Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure … tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001). Excellent communication and stakeholder management skills; able to translate complex data concepts into business-friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified More ❯

promote the value of data across business and technology teams Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices Maintain comprehensive architecture documentation for metadata, data lineage, and data governance Essential Skills & Qualifications Extensive experience architecting enterprise data solutions and designing scalable data platforms Proven expertise in data modeling (conceptual, logical, physical), metadata management, and master data management (MDM) Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi) Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift … analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001) Excellent communication and stakeholder management skills; able to translate complex data concepts into business-friendly language Ability to lead technical discussions and influence data-driven decision making across teams Certifications such as Microsoft Certified More ❯

solutions. Collaborate with IT teams to ensure data infrastructure is optimized for performance, scalability, and reliability. Provide leadership and mentorship to data architecture and engineering teams. Data Integration and Management: Design and implement robust ETL processes to integrate data from various sources into the data warehouse and big data platforms. Oversee the management of metadata, master data More ❯

reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. About Apexon: Apexon is a digital-first technology services firm … reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents. We enable #HumanFirstDIGITAL Key Responsibilities: • Design, develop, and maintain logical … ensure consistency and compliance with regulatory requirements. • Utilize SQL, data modeling tools (e.g., Erwin, Visio), and scripting languages to define and implement database solutions. • Develop and maintain data dictionaries, metadata management, and schema documentation. • Document data structures, business logic, and workflows to ensure transparency and knowledge sharing within the team. • Optimize dashboard performance and usability by implementing best More ❯

About The Role About the Role We have an exciting new opportunity for a new a Data Management Specialist. You will be involved in delivering our Data Strategy, mature our Data Management capabilities and support our Microsoft Fabric and Purview implementation. You will help us support and enhance our enterprise data management practices within a dynamic financial … services environment. This role will be responsible for helping us shape our Data Management roadmap and will introduce and establish all Data Management capabilities including Meta data Management, Master Data Management, Data Lineage, Business Glossaries and Data dictionaries. You will mature our Data Ownership and stewardship communities, support our data literacy programme, working as part of … Term Contract. Key Accountabilities •Working in close collaboration with the Head of Data, Data Governance Implementation Lead, DPO and a Data Quality specialist to establish the Data Governance and management team. •Oversee the acquisition, collection, storage and analysis of our business data with a Data Management best practice and compliance lens. •Actively contribute to Data Risk management 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 ❯

Managing Consultant - Data & AI Strategy - Data Management At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered … by creativity and design. All underpinned by technology created with purpose. Your Role As an SME in Data Management, your role encompasses spearheading the development and implementation of robust data governance, ethics, Data Quality, Data modelling, Data Architecture, Data Quality, standards implementation, and Master Data Management (MDM) strategies within organisations. You will provide strategic guidance to ensure that … consistent view of critical data entities. Collaborating with cross-functional teams, you'll define data quality standards and metrics, monitor data quality, and enhance transparency and accountability in data management practices. Specifically: You will be at the forefront of integrating technologies into data management processes, introducing efficiencies in data quality, automate data governance tasks, and optimise data processes More ❯

data integration and data quality standards across all development initiatives according to the organization's Enterprise information services policies as well as best practices Assist in renovating our data management infrastructure with quality of data preparation, integration and AI-enabled metadata management tools and techniques Track data consumption patterns most used and valued to our customers by … including SQL, PL/SQL on cloud data platforms like Snowflake, Oracle, SQL Server and Netezza Strong technical understanding of data modeling (data vault 2.0), data mining, master data management, data integration, data architecture, data virtualization, data warehousing and data quality techniques with hands on experience using data management technologies like Informatica PowerCenter/IICS, Collibra, Master Data … Management, DBT Cloud, Denodo and Golden Gate. Working knowledge of Git repositories (bitbucket, GitHub), CI/CD (Jenkins, Azure DevOps)and software development tools, including incident tracking, version control, release management, subversion change management(Atlassian toolset - Jira/Confluence), testing tools and systems and scheduling software (Tidal, Control-m) Experience working with popular data discovery, analytics and More ❯

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 The Strategy, Performance & Improvement (SPI) Team is one of the central Government Finance Function (GFF) teams supporting over 9,000 finance colleagues across government. We set the Finance Standard (GovS006), monitor performance, and maintain a central library of best practice—the NOVA Functional Reference Model … 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 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 ❯

building, and maintaining high-quality, scalable, and user-friendly analytics solutions usingPower BI. This role focuses ontabular model design, data visualization best practices, and end-to-end report lifecycle management-ensuring that business stakeholders receive accurate, insightful, and timely data. A strong candidate will have deep hands-on experience withPower BI, includingPower Query,DAX,tabular modelling, and efficient data … Infrastructure, Automation & Capacity Planning Implement and manage Power BI Workspaces, gateways, and deployment pipelines. Apply CI/CD practices for reporting artifacts (e.g., version control, automated testing, and release management). Identify and implement automation opportunities for processes such as refresh schedules, performance monitoring, and usage analytics. Contribute to capacity planning and management, ensuring optimal resource utilization and … ensuring data quality, integrity, and security across Power BI solutions. Collaborate with theData Governance teamto maintain areport catalogue, data dictionary,and data lineage, leveraging tools likeAtaccama(or similar) for metadata management. Implement role-based access controls, manage row-level security (RLS), and adhere to data privacy regulations and internal policies. Performance Monitoring & Optimization Monitor and optimize Power BI report More ❯

Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance – we succeed when they do. With … efficiently and effectively. The team works collaboratively to offer specialist advice, best practice and technology to all areas of our business specifically designed for our global reach. The Data Management Specialist (Level 3 Support) is responsible for providing advanced technical and functional support for enterprise data management solutions, ensuring high availability, integrity, optimisation, and performance of Mott MacDonald … MM) critical data assets. Key duties and responsibilities include: Serve as the technical escalation point for data management support, ensuring timely and effective resolution of complex data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support the implementation of data quality frameworks, data lifecycle management, and metadata More ❯

and successfully execute the Data Governance Roadmap as will be actively involved in the creation of company data quality foundations by developing and delivering technical solutions related: Data Governance & Management policies as code Automatic Data Observability and Quality metrics implementation, Effective and efficient Metadata Management & Data Catalogue, Data Policies and Procedures automation Data Security processes and controls … bad practices detection and data quality issues prevention in the different layers of the data stack and different phases of the data life cycle Design and implement automatic Data Management policies, procedures and controls (policy as code) to avoid data misusage across the organization Design and implement automatic Data Quality controls validation, metrics, controls. Design and implement automatic Data … applications and ML apps Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Data Security management (encryption, masking, GDPR, PCI, secrets, SSO, MFA) Experience in performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for 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 ❯

moderate complexity to address business challenges. Identify redundant data objects and reusable data items across systems and applications. Define data transformation requirements and implement efficient solutions. Implement enterprise data management practices, standards, and frameworks for Data Integration Ensure data governance and security best practices are followed. Participate in code reviews and provide feedback on SQL queries and ETL pipelines … you will need: Bachelor's degree Computer Science or a related field required Master's degree Computer Science or a related field preferred 3+ years of experience in data management, data products, or analytics required Service and Quality Excellence: Ability to demonstrate an uncompromising commitment to delivering exceptional care to create an unmatched value proposition for our patients required … queries; Experience GCP Big Query is a plus Experience with GIT and GitHub version control. Extensive experience in architecture, construction, and implementation of data-intensive solutions Strong understanding of metadata management and data cataloging Adeptness to learn new assignments, technologies and applications quickly and manage multiple assignments simultaneously Ability to troubleshoot, maintain, reverse engineer and optimize existing ETL More ❯

for the Data Architect role at Somerset Bridge Group Get AI-powered advice on this job and more exclusive features. Application Deadline: 27 June 2025 Department: [SBSS] Enterprise Data Management Location: Newcastle Compensation: £82,500 - £98,000/year Description Are you ready to shape the data backbone of an ambitious insurance business? We're on the lookout for … modelling. Drive innovation by evaluating and implementing emerging cloud-based data technologies to enhance Somerset Bridge Group’s data strategy and competitive advantage. What You'll Need Strong stakeholder management across business, IT, and compliance teams. Excellent communication, collaboration, and influencing skills across all levels of an organisation. Experience leading data architecture and engineering teams in an enterprise environment. … delivering enterprise-scale data solutions with a focus on performance, security, and scalability. Experience in regulated financial services environments, ensuring compliance with industry standards. Vendor and third-party relationship management, including Microsoft and Databricks. Knowledge of IFRS 17 and BCBS 239 for financial reporting and risk management. Understanding of the UK Data Protection Act and Solvency II compliance. Experience More ❯

Python, and modern Azure data services including Synapse Analytics and Azure Data Explorer. The ideal candidate will design, develop, and maintain scalable data pipelines and architectures, enabling effective data management, analytics, and governance. Key Roles and Responsibilities Design, develop, and maintain scalable and efficient data pipelines (both batch and real-time streaming) using modern data engineering tools Build and … and interpersonal skills Good to Have: 1–2 years of experience working with Azure Data Explorer (including row-level security and access controls). Experience with Azure Purview for metadata management, data lineage, governance, and discovery Ability to work independently and take full ownership of assignments Proactive in identifying and resolving blockers and escalating when needed Exposure to More ❯

Having exposure to ETL tools such as Informatica, Datastage or talend is added advantage Experience with Unity catalog, Delta lake and modern data lakehouse concepts Strong communication and stakeholder management skills. ͏ p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of … and application trends and relates these to planning current and future IT need 450 GBP/day; 3 days onsite mandatory ͏ 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their … f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯

and build CI/CD pipelines using Azure DevOps to automate deployment and monitoring of data solutions to all environments. Provide knowledge sharing to data operations teams on release management and maintenance. Manage platform administration, ensuring optimal performance, availability, and scalability of Azure data services. Implement end-to-end data pipelines, ensuring data quality, data integrity and data security. … control (RBAC), encryption, and compliance with industry standards. Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions. Monitor and optimize Databricks performance, including cost management guidance and cluster tuning. Stay up to date with Azure cloud innovations and recommend improvements to existing architectures. Assist data analysts with technical input. You may also be required … managing large-scale data solutions on Microsoft Azure. Unity Catalog Mastery: In-depth knowledge of setting up, configuring, and utilizing Unity Catalog for robust data governance, access control, and metadata management in a Databricks environment. Databricks Proficiency: Demonstrated ability to optimize and tune Databricks notebooks and workflows to maximize performance and efficiency. Experience with performance troubleshooting and best More ❯