of data governance (development, maintenance, and archiving). Contribute to the master data governance program by enabling architectural design, data standards, and developing data management processes. Responsible for the metadata catalogue (metadatarepository) for all systems at EMA. Maintain metadata standards in line with ISO/IDMP (Identification of Medicinal Products). Participate in requirements gathering … to ensure master data compliance with the metadata catalogue. Implement processes for tracking and maintaining data delta. Ensure metadata is documented within the MDM system. If you are an experienced Architect with strong data experience, including IDD, MDD, and IDQ, please don't hesitate to apply. More ❯
Lincoln, Lincolnshire, East Midlands, United Kingdom Hybrid / WFH Options
Frontier Agriculture Limited
and Maintain the Data Governance model Evaluate and recommend data modelling tools and technologies to improve efficiency and accuracy of data modelling processes Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality Document and communicate data More ❯
Employment Type: Permanent, Work From Home
Salary: Competitive + Benefits + 33 Days Holiday + Employee Assistance Program
data architecture standards and best practices Collaborate with cross-functional teams to align data models with business needs Lead data integration, transformation, and migration strategies Maintain enterprise data models, metadata repositories, and data lineage documentation Optimise data products for performance, scalability, and reliability Skills & Experience: 10+ years in data architecture and modelling Expertise in dimensional modelling, 3NF, and Data More ❯
environment Integrating data pipelines with external services through APIs Enforcing data security measures, including encryption and access controls Designing data solutions adhering to regulatory requirements (e.g., GDPR, HIPAA)Implementing metadata repositories for tracking data lineage and dependencies Building data solutions leveraging different data ingestion methods and technologies Skills, Knowledge And Expertise Must have: Experience with cloud-based technologies (such More ❯
compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning More ❯
solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organisational policies and regulatory requirements. Optimise data products and their components for performance, scalability, and reliability. Evaluate and recommend … modelling. Experience with CI/CD GITHUB Actions (or similar) Knowledge of Snowflake/SQL Knowledge of Apache Airflow Knowledge of DBT Familiarity with Atlan for data catalog and metadata management Understanding of iceberg tables Who we are: Were a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing More ❯
Builds and deploys communication plans for data consumers so they are aware of data governance standards and available resources for accurate reporting of the data. 5. Develops a centralized metadata and classification repository for data assets that can be systematically used with confidence in business applications. 6. Fosters communication and knowledge exchange among data governance practitioners through engagement More ❯
Responsibilities: Develop data warehousing blueprints, evaluate hardware/software platforms, and integrate systems. Assess reusability of current data for analysis. Design data warehouses, including data design, database architecture, and metadata management. Build relational databases, perform data access analysis, and design archive/recovery processes. Review and develop object/data models and metadata repositories for better data management. More ❯
systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance More ❯
