13 of 13 Metadata Management Jobs in Yorkshire

other functions (delivery, product, software engineering) and our clients with decisions impacted by the technical strategy of the project and providing support and line management to data engineers on your team. Key Responsibilities Discipline Expertise and Leadership Technology breadth : Deep, production‐grade experience across AWS & or Azure native services … core services, for example: Storage & Lakehouse: RDS, DynamoDB, S3, SageMaker Lakehouse Processing & ETL: Glue, EMR, Athena, CDC/DMS, DataBrew, Kinesis, dbt Data management & metadata: Lake Formation, Glue Data Catalog, SageMaker Catalog/DataZone AI: Bedrock (including AgentCore) and SageMaker AI On Azure, you’re fluent across ...

modern data architecture across complex technology initiatives. You will be responsible for developing data architecture and modelling approaches, working across data governance, master data, metadata and event-based architectures. You will also work closely with technical and delivery stakeholders, presenting architectural designs through governance forums and helping shape wider … appropriate patterns, standards, tools and best practice. Present data architecture designs and recommendations to technical governance forums. Develop architecture across data modelling, Master Data Management (MDM), metadata management and data governance. Design and apply event-based architecture patterns, including publish/subscribe and data streaming. Work with ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow , including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi‐tenant architecture: tenant isolation, configuration management, metadata‐driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow, including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...

Azure Data Factory, Azure Databricks, Synapse Analytics, Purview Experience with CI/CD, DevOps practices and automated testing. Strong understanding of data governance, metadata management and data quality principles. Experience working in Agile environments. Excellent stakeholder management and communication skills. Event-driven architecture and integration solutions. ...

directly with senior stakeholders to define technical roadmaps, lead discovery engagements and influence the direction of complex data programmes. You'll combine architecture, stakeholder management and delivery leadership, helping organisations unlock greater value from their data through modern cloud platforms and analytics solutions. The successful candidate will enjoy operating … analytics and visualisation tooling. Strong SQL and data analysis capabilities. Data platform migration or modernisation programmes. Business requirements gathering and workshop facilitation. Data governance, metadata management and data quality initiatives. Leading technical workstreams or managing delivery teams. Working within highly regulated or public sector environments. Experience with technologies ...

. Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop apps, dashboards ...

quality documentation including BRDs, FRDs, user stories, business rules, and data mapping specifications. Define acceptance criteria and support governance artifacts such as KPI dictionaries, metadata definitions, and reporting standards. Contribute to consistent and repeatable data and reporting practices. Required Skills & Experience 6–10 years of experience in a Business … enterprise reporting. Working knowledge of Azure-based data platforms and data pipeline concepts. Hands‐on experience coordinating Power BI reporting requirements. Strong stakeholder management, communication, and facilitation skills. Preferred Qualifications Domain experience in Water Utilities or similar regulated industries. Familiarity with data governance, metadata management, and data ...

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. ...

architecture design, modelling techniques, tools, and industry standards. Ability to present architecture solutions to governance and technical review boards. Knowledge of Data Modelling, MDM, Metadata Management, and Data Governance. Experience with event-driven architectures, including pub/sub and data streaming patterns. Understanding of cloud platforms (AWS, Azure … shape technology projects, programmes, and strategic initiatives. Desirable Skills Strong data communication and stakeholder engagement skills. Knowledge of data governance, modelling, standards, and metadata management. Ability to translate business requirements into effective data architecture solutions. If this Data Architect role sounds like a good fit, you can work ...

refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register ...

domain ontologies into relational data models, ensuring business concepts and their relationships accurately mirror real-world retail and supply chain processes. Implement and maintain metadata repositories, data dictionaries, and lineage tools within the enterprise data catalog. Define test conditions and execute automated data quality scripts to validate datasets before … Jenkins) to deploy maintainable code. Data Quality & Testing: Experience writing automated data validation scripts and test suites to verify accuracy and structural integrity. Metadata & Documentation: Ability to design and manage metadata, data dictionaries, and data cataloging assets. Stakeholder Translation: Excellent ability to communicate complex data structures ...