1 to 25 of 1,312 Metadata Jobs

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 … financial markets is highly desirable. Excellent communication, interpersonal, and presentation skills. Strong analytical and problem-solving skills. Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with metadata management tools e.g. Purview. Knowledge of data science and machine learning concepts. Experience with API design and development. #J-18808-Ljbffr 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 ways of working. … dictionary https://assets.publishing.service.gov.uk/media/5b27cf2240f0b634b469fb1a/CS_Behaviours_2018.pdf This role will assess you at the Grade 7 level: Proven experience of establishing data standards, metadata management, data structures, and expertise in data analysis. Experience of Digital Solutions such as ERP (Enterprise Resource Platforms) and EPM (Enterprise Performance Management) Technology, including the best practice application of More ❯

open architecture and delivery speed. Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere to internal governance standards, including More ❯

open architecture and delivery speed. Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere to internal governance standards, including 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 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 More ❯

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 … Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semantic web technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store architecture for machine learning PIMCO follows a total compensation approach when rewarding employees which includes a base salary and a discretionary bonus. Base salary is the More ❯

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, and data lineage across systems. Ensure data consistency, accuracy, and availability for business users. Performance Optimization: Monitor and optimize the performance of data platforms and processes. Implement strategies More ❯

data quality checks and monitoring solutions; Build reconciliation processes to ensure data consistency across systems; Implement data lineage tracking for key data elements; Support data governance initiatives by implementing metadata management; Create data quality metrics and dashboards for continuous monitoring. Infrastructure & DevOps Implement infrastructure-as-code for data platform components; Build CI/CD pipelines for data transformation code and More ❯

DAMA) modeling tools a plus. 12+ years of varied experience implementing all aspects of Data Management - Data/Big Data, Quality, Data Modeling, Data Governance, Data Integration/ETL, Metadata Management and Data Security. 10+ years of enterprise experience working with data architecture efforts with subject matter authorities from varying technology and business disciplines 5+ years of experience strategizing and 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 More ❯

is responsible for hands on design and delivery of the tooling for Data Management – e.g. Data Catalog, Data Quality, Data Lineage. This includes configuring pipelines and connectors to ingest metadata, classify data, and establish data elements within a Business Data Catalog enabling additional data governance activities such as data quality and data lineage. The manager will be hands on and … responsible for tooling related to metadata management, data quality management, reference data management, master data management, amongst others. This role will also support use case development leveraging data elements/attributes through hands on data profiling and data discovery. Main duties and responsibilities Implement comprehensive data cataloging for appropriate data attributes Connect the orchestration and integration of data catalog tooling … effectively Experience developing technical and business lineage Experience developing data quality rules and profiling of data quality using DQ tooling In-depth experience with data management tooling for managing metadata, data quality, reference data and master data amongst others Strong project management skills, with the ability to lead projects from inception to completion Excellent communication skills for interacting with various More ❯

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 automation Responsibilities: Reporting into the Head of Data Governance Office, this role will be responsible to: Design … SQL, Python, RestAPI Data Ingestion/ETL tools: Airflow; Snowpipe, or similar Data Transformation tools (SQL or python based): dbt or similar. Data management & Governance platforms: Collate/Open Metadata, Collibra, Infosphere, Montecarlo, Informatica or similar Cloud Data Visualization Tools: Tableau (preferred) or similar Git repositories: Bitbucket Cloud or similar Gitlab, Github Documentation: Atlassian Confluence or similar Soft Skills Excellent More ❯

the organisation to ensure data is accurate, secure, consistent, and compliant with regulatory standards. This role will work across business and technical teams to embed data ownership, data quality, metadata management, and stewardship practices. We offer Hybrid working; however, your presence will be required in our Bournemouth offices (happy to discuss). This is a 6 month Fixed Term Contract. … management processes. •Work with risk, compliance, and legal teams to ensure data practices align with regulatory requirements (e.g., GDPR, BCBS 239, DORA). •Oversee the data lineage, catalog and metadata management processes using tools such as Collibra, Informatica, Microsoft Purview, or Alation. •Support the integration of governance practices within data platforms like Azure, Databricks, Microsoft Fabric, and enterprise BI tools. 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 to both 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 to both 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 to both More ❯

and building enterprise wide and platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers. Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions. A good understanding of Master Data Management More ❯

Management requirements including, but not limited to: Data Strategy/Modeling/Documentation; Data Feed Identification; Infrastructure Management; Data Ingestion/Data Feed Automation; Data Transformation; Data Catalog and Metadata Management; Data Quality Management; Data Governance • Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives. • Integrate Tableau with various data sources, including SQL databases, cloud platforms More ❯

supporting data governance programs, including defining data policies, standards, and procedures. • Data Architecture: Familiarity with different data architectures (e.g., data warehousing, data lakes, data mesh), data modeling techniques, and metadata management. Experience working with or contributing to the design and implementation of data architectures. • Cloud Computing: Experience with cloud platforms (AWS, Azure, GCP) and their data services, including storage, compute More ❯

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 practices for More ❯

Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM), metadata management, and ensuring data compliance with global standards. Deep understanding of SQL, Python, Spark, or other relevant data processing technologies used for data transformation and analytics enablement. Familiarity with modern … initiatives, including the DDF program. Data Platform Optimization: Work closely with AOE data teams and PNE analytics teams to optimize the data infrastructure, ensuring performance, scalability, and cost efficiency. Metadata & Asset Management: Drive consistent metadata management and data asset governance, ensuring data reliability, accessibility, and standardization across PNE. Enablement & Best Practices: Educate and support the PNE teams in data stewardship More ❯

problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring and alerting tools to manage the … Spark. Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark … Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data Management. Experience using Azure DevOps to manage tasks and CI/CD deployments within an Agile framework, including utilising Azure Pipelines (YAML), Terraform, and implementing effective release and branching strategies. Knowledge of More ❯

problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring, and alerting tools to manage the … Spark. Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark … Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data Management. Experience using Azure DevOps to manage tasks and CI/CD deployments within an Agile framework, including utilising Azure Pipelines (YAML), Terraform, and implementing effective release and branching strategies. Knowledge of 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 and vigilant oversight. Lead More ❯