176 to 200 of 326 Metadata Management Jobs

Lakes, ETL, and Enterprise Data Platforms, along with deep knowledge of the Pharma/Life Sciences domain, particularly R&D and LIMS (Laboratory Information Management Systems). Key Responsibilities Design and maintain enterprise data architectures, data models, schemas, and integration frameworks. Develop scalable data warehouse, data lake, and cloud … based data solutions. Lead data migration, ETL/ELT, data quality, and data integration initiatives. Define and enforce data governance, metadata, security, and compliance standards. Optimize data storage, performance, and accessibility across cloud and on-premise environments. Collaborate with business and technical stakeholders to translate requirements into robust data ...

future of Asset & Wealth Management. Your expertise will empower teams to make informed decisions and deliver value to our clients. As an Asset & Wealth Management Index Data Owner, VP in the Index Product Team, you will execute critical data management activities that support strategic business and product objectives. … data delivery partners and consumers. Your leadership will help drive innovation and maintain high standards for data integrity and compliance. Job Responsibilities: Execute data management and data risk responsibilities across the entire data lifecycle Ensure responsible use, sharing, and protection of data, maintaining quality and reliability Define, describe ...

security, governance, RBAC, data sharing, performance optimization, and multi-environment strategy. Define enterprise data platform standards and operational best practices. Guide warehouse sizing, workload management, performance tuning, and cost optimization. Design event-driven architecture using Confluent Cloud. Define topic governance, schema management, security controls, HA/… Code, automation, release governance, and quality gates. Establish platform engineering practices supporting continuous delivery and automation. Define Data Mesh principles, domain ownership models, governance, metadata management, and interoperability standards. Establish integration architecture across Snowflake, Kafka, cloud platforms, APIs, ETL/ELT, and downstream systems. Collaborate with business ...

Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport. Role Overview … reporting workloads. Experience with cloud-native data technologies or modern data platform tooling. Experience with Data Orchestration/ETL processes. Understanding of data governance, metadata management, data quality and data lineage practices. Awareness of AI-assisted tooling and its responsible use within data engineering and architecture. Qualifications ...

Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What You’ll Work On A modern sportsbook data platform built on AWS, supporting both real‐time and batch … data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years experience in data engineering, building and maintaining scalable data platforms. ...

level mapping, calculation logic, timing, distribution requirements, and client sign-off.· Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution.· Responsible for product management of complex data and reporting projects and programs for new business and existing business.· Collaborates with … providing technical specifications and solution architecture for data flows.· Technical proficiency in tools such as SQL, Python, ETL platforms, API gateways, Snowflake, Databricks, and metadata management platforms. To be successful in this role, we're seeking the following:· Bachelor's degree or the equivalent· Extensive work experience preferred ...

asset servicing capabilities. Own the development and execution of the data delivery plan, including source data assessment, data mapping, transformation requirements, validation approach, defect management, reporting readiness, and operational handoff. Partner with clients and internal teams to analyze existing data structures, reporting outputs, operational workflows, and conversion requirements. Drive … level mapping, calculation logic, timing, distribution requirements, and client sign-off. Oversee data profiling, gap analysis, field-level lineage, data quality assessment, reconciliation, exception management, and issue resolution. Define and manage data requirements for fund accounting, investor servicing, regulatory reporting, performance, alternatives administration, portfolio data, reference data, and client ...

track.Everything you see on screen or at an event comes via our passionate and dedicated people. Whether its engineering, broadcast, legal, logistics, security, event management, commercial, media rights, marketing, or communications there is always a talented team working to maximise the potential of the sport.Role Overview:We are looking … analytical or historical reporting workloads.Experience with cloud-native data technologies or modern data platform tooling.Experience with Data Orchestration/ETL processes.Understanding of data governance, metadata management, data quality and data lineage practices.Awareness of AI-assisted tooling and its responsible use within data engineering and architecture.QualificationsNot essential ...

managed to high standards across an organisation? Do you enjoy collaborating across business and technical teams to drive adoption of governance, quality, and data management best practices? About the Business At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions … data by transforming information into actionable insights, innovative products, and AI-driven solutions. Our multidisciplinary team spans Data Analytics, Data Engineering, Data Governance & Management, and AI, working together to ensure data is trusted, accessible, and used effectively to drive better decisions, improve business performance, and unlock new opportunities. About ...

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 ...

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 ...