176 to 200 of 309 Permanent Metadata Management Jobs

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

architectural integrity rather than hands‐on coding. Ensuring Governance & Quality: Establish Strong Data Governance, partner with the Data Governance Manager to define schema management, metadata frameworks (e.g., OpenMetadata), and data quality controls, promoting data democratisation and self-service. Adhere to Security & Compliance by integrating information security standards ...

That means our work is judged on correctness and reliability, because every system built on top of ours is only as good as the metadata we provide. This is a backend role focused on data management, working on the problems at the core of any large data platform … consumers only read complete data. We build on open standards like OpenLineage and Apache Iceberg, and define the internal standards for naming, storage and metadata that the rest of Spotify builds against. As the platform takes on new storage technologies and new kinds of data assets, those standards ...

contributing to data architecture and applying established design patterns Strong understanding of data migration, data analysis, data modelling, data integration patterns and data lifecycle management Experience with master data, operational data stores, analytical platforms and distributed data systems Knowledge of relational and non-relational database technologies, including schema design … scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm ...

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 ...

support initiatives that improve the quality, consistency and integrity of the Firm's data. The successful candidate will possess strong analytical and stakeholder management skills, enabling them to communicate the objectives and benefits of the Data Strategy effectively at all levels of the organisation and drive the adoption … across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. ...

support initiatives that improve the quality, consistency and integrity of the Firm's data. The successful candidate will possess strong analytical and stakeholder management skills, enabling them to communicate the objectives and benefits of the Data Strategy effectively at all levels of the organisation and drive the adoption … across business and technology functions. Coordinate Data Governance Forums, ensuring actions, decisions, risks and issues are appropriately documented and tracked. Experience with Data Governance, Metadata Management or Data Catalogue platforms. Experience documenting and maintaining Data Lineage and Business Glossaries. Knowledge of Data Quality frameworks, controls and remediation processes. ...

data migration lifecycle-from initial discovery, inventory, and data mapping to complex transformation, execution, and final reconciliation. You will navigate complex data models, metadata, and large-scale relational structures, ensuring clean, fully validated, and seamless migration to modern cloud environments. Essential Criteria 8-10+ years of dedicated experience … Execution, and Post-migration Validation. Hands-on proficiency with Azure DevOps, Git, and modern CI/CD deployment practices. Deep understanding of data modeling, metadata management, and data lineage. Desirable Experience Experience migrating legacy systems into Azure or Microsoft Fabric . Prior background in Financial Services working ...

integration services Enable high-quality data for client-facing products, reporting, artificial intelligence, machine learning and operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs to ensure architectural alignment, reduce risk, eliminate duplication and maximise reusability … Azure cloud data platforms Experience supporting or managing long-term data migration projects between bespoke or legacy systems Knowledge of data governance, data quality, metadata management, lineage, privacy and compliance Excellent stakeholder engagement, communication and influencing skills Ability to assess emerging technologies and make informed architectural recommendations Experience ...

Python | SQL | BigQuery | Neo4j | Data Engineering | Knowledge Graphs The Role I'm working with a business investing heavily in enterprise AI, search and knowledge management capabilities. They're looking for a Data Engineer to help build the data foundations that sit behind large-scale AI and knowledge discovery platforms. … This is a hands-on engineering role focused on designing and delivering data pipelines, search infrastructure and knowledge management solutions that turn complex enterprise information into trusted, searchable and AI-ready assets. What You Will Be Doing Designing and building scalable data ingestion and transformation pipelines across multiple enterprise ...

supporting data platforms within OpenShift or Kubernetes environments. Knowledge of GitLab CI/CD and modern software delivery practices. Understanding of data validation, assurance, metadata management, lineage and data governance principles. Strong stakeholder engagement, problem-solving and communication skills. Active DV Clearance required If you're an experienced ...

explain complex technical concepts to diverse stakeholders Experience working in regulated environments (aviation, financial services, healthcare, or similar) Familiarity with data governance, lineage, metadata management, and audit requirements Experience overseeing third-party vendors or delivery partners Exposure to modern data platforms supporting analytics and BI workloads Technical Skills ...

Have Experience with TypeScript or JavaScript Experience contributing to frontend applications (React) Familiarity with observability tooling (logging, monitoring, tracing) Experience with data modelling and metadata management Exposure to CI/CD practices for data pipelines and services Experience working in delivery-focused, agile environments Please note: We offer ...

models, and align BI solutions with business objectives.- Present insights and recommendations to senior executives in a clear, structured format.- Implement data governance standards, metadata management, and ensure compliance with organizational policies.- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.What You’ll BringEducation ...

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. ...

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. ...

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. ...

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. ...

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. ...

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 ...

practices around security, scalability, performance and cost optimisation . Provide technical leadership, architecture governance and design documentation across data initiatives. Develop data quality, governance, metadata and data management frameworks. Explore how AI and Machine Learning can enhance data solutions through automation, anomaly detection and predictive data quality. Translate … Engineering/Data Architecture , with strong experience designing ETL processes, data pipelines and data storage solutions. Previous experience working within a technology, data or management consultancy in a client-facing capacity. Experience leading data engineering projects, workstreams or technical teams. Strong knowledge of cloud data platforms and modern data ...

semantic foundation for data exchange, AI training, and digital twin deploymentDevelop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage trackingTranslate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teamsDefine and deliver … communications systems concentration, or equivalent experienceExperience: 15+ years of experience in the telecom software industry with at least 5+ years of product line management experienceApplication of telecom data modeling, schema design, graph or ontology structures, and enterprise data management toolsApplication of AI and ML data requirements including feature ...

data engineering — this is a small team that needs to move fast, and we expect the use of AI‐assisted pipeline development and management to be embedded in how we work Data Governance Lead the Data Governance function from a standing start — we have no established governance framework … this is a greenfield opportunity to build it properly Own the framework for how THG manages data quality, metadata, data definitions and lineage across PLC Work with Ingenuity to ensure governance standards are consistent across both PLC and Ingen data infrastructure Build the culture and processes that make governance ...