Metadata Repository Jobs in Midlothian

2 of 2 Metadata Repository Jobs in Midlothian

Data Architect/Security

Edinburgh, Midlothian, United Kingdom
Hybrid / WFH Options
Snc-Lavalin
manage data architecture across SAP S/4HANA, Workday, and cloud environments.• Develop conceptual, logical, and physical data models aligned with business and regulatory requirements.• Establish data governance frameworks, metadata standards, and MDM processes.• Embed governance checkpoints within PMO methodologies and quality gates.• Lead data lifecycle management initiatives ensuring accuracy and traceability.Architect secure and scalable data integration solutions:• Design … reporting: • Design hybrid data platforms integrating structured and unstructured sources.• Define reference architectures for data lakes, warehouses, and ESG reporting.• Enable self-service analytics through governed data catalogues and metadata repositories.• Align architecture with business analytics, sustainability metrics, and regulatory reporting. Lead cross-functional collaboration and vendor management: • Lead teams of data engineers, modellers, and security analysts.• Liaise between More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data Management Associate Manager

Edinburgh, Midlothian, Scotland, United Kingdom
Accenture
our clients in the Data Management and Governance team. Our end-to-end experience allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. As a Data Management … and dashboards to monitor and report on data health Lead end-to-end delivery of data quality initiatives, from requirements gathering to deployment and support Integrate DQ solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality More ❯
Employment Type: Full-Time
Salary: Competitive salary
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