9 of 9 Metadata Management Jobs in Scotland

celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Lead Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

that celebrates diverse perspectives and fosters continuous learning. Job Summary: As a Data Engineer in the Corporate Technology team supporting CIO, Treasury & Corporate Risk Management, you will enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You will maintain critical … resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction, and deliver ...

their data.* We **ADVISE** on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI-driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities.* We **TRANSLATE** complexity into clarity – You will guide and influence senior stakeholders … secure buy-in and drive cultural change toward data-driven outcomes.* We **DESIGN** operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations.* We **ENABLE** trusted AI and analytics – You will support ...

maintain data roadmaps aligned with organizational goals and technology strategies. Establish data architecture principles that promote scalability, performance, security, and accessibility. Data Integration & Management Design and develop data integration solutions and pipelines to consolidate data from multiple internal and external sources. Define and implement data flow, transformation, and storage … accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management ...

practices.Implement security-by-design in Snowflake: RBAC, tag-based governance (ABAC), dynamic data masking, row/column-level policies, Tri-Secret/external key management, network policies, Private Link, SSO/OAuth/MFA, audit trails, and access history.Embed data quality, observability, and lineage using Snowflake Horizon Catalog … access history, and data classification.Streaming and CDC patterns (Kafka, Kinesis, Snowpipe Streaming) and event-driven architectures for near real-time use cases.Data governance and metadata management (catalogs, lineage, MDM, data quality frameworks) with familiarity in regulatory regimes (e.g., GDPR/CCPA/HIPAA/PCI-DSS/ ...

Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep understanding of data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed … analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics, cost optimisation strategies and designing solutions that balance performance with value. Familiarity with infrastructure as code to ensure architectural consistency and deployment scalability. Able to inspire, guide ...

ensure that data solutions are scalable, secure and fit for purpose. The role combines hands-on data architecture, client consulting, technical leadership and people management, making it well suited to an experienced Data Architect who is ready to take greater ownership of both technical delivery and the development … regulatory requirements. Establish and promote data architecture standards, patterns, methodologies and best practices. Support the resolution of complex data definition, ownership, mastering and information-management challenges. Contribute to solution-level and enterprise data architecture decisions where required. Evaluate and recommend appropriate data technologies and products based on client requirements. ...

requirements and is consistent with established R&D standards. Manage and lead project scoping and scheduling; track progress of individual tasks and alert executive management and stakeholders of concerns meeting schedules, while following established R&D standards. Manage product quality standards by ensuring functional, unit and performance testing … implement and resolve code changes related to enhancements, redesigns, and/or bug fixes. Contribute to product or project direction through collaboration with Product Management, Marketing, Sales, Customers, and others within SAS. Manage all aspects of the department including teamwork, performance management, feedback, professional growth through collaboration with ...

work, helping accelerate development, improve solution quality, and ensure alignment to firm-wide architecture patterns and standards. Job Responsibilities Engage with Business Operations, Product Management, and Technology stakeholders to ensure business requirements are properly articulated, understood, and realized as secure and robust solutions. Apply AI tools and techniques … credentials, and applicability within existing systems and information landscapes. Design and assess end-to-end solution architectures for enterprise-scale platforms, including data and metadata models, master/reference data usage, persistence and data migration. Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability ...