26 to 50 of 77 Metadata Management Jobs

Desirable Criteria Experience delivering data pipelines on Hortonworks/Cloudera on-prem and leading cloud migration initiatives. Familiarity with: Apache Airflow Data modelling and metadata management Experience influencing enterprise data strategy and contributing to architectural governance. Changed this now. I was confusing this with PDE role … Have mentioned Python in 'Minimum Criteria' section below, but will add here too this could be added to Essential Criteria stakeholder and project management Have updated #1 in essential criteria below. But I have now used the previous version to create requisition in OBS. Will ...

provide "at-a-glance" insights for executive leadership and deep-dive capabilities for analysts. Data Governance: Establish and enforce best practices for data documentation, metadata management, and data quality assurance to ensure "one source of the truth." Performance Optimization: Audit and optimize SQL queries and dashboard performance ...

data used in operational, financial, and risk reporting, ensuring it is fit for decision-making and regulatory purposes. Requirements Experience & Background Degree in Data Management, Information Systems, Computer Science, Finance, Economics, or a related field. 3-5 years of experience in data governance, data quality, data management … similar roles, ideally within financial services. Relevant Skills Solid understanding of data governance and data quality principles, including data controls, KPIs, and issue management processes. Familiarity with data lineage, metadata management, and critical data element concepts, as well as basic awareness of regulatory expectations such as BCBS239. ...

scale data needs. Evaluate, recommend, and drive the adoption of modern data technologies, tools, and patterns (e.g., data lakehouse, ETL/ELT, event streaming, metadata management). Data Practice: Help establish the foundational processes for data modelling, data quality, metadata, lineage, security, and governance. Build and lead … paramount. Ensure data solutions integrate effectively with financial and operational systems. Provide architectural oversight and assurance across data design and implementation activities. Regulatory & Risk Management: Ensure all data-related solutions comply with relevant regulatory frameworks and internal risk controls. Interpret complex regulatory requirements into actionable architectural principles and system ...

consistency across development teams and services Support established Data Governance and Data Quality frameworks, including tooling, policy enforcement, and stewardship models Ensure robust metadata management, lineage tracking, and data cataloguing using business glossaries and modern catalog tools Review and approve data architecture for major features, platforms, and technical … cross-functional teams Guide teams in the adoption of best practices in API design, modularity, cloud-native patterns, and event-driven systems Recommend data management best practices, covering data flows, architecture patterns, retention, archival, and purging strategies Coach and mentor engineers on data design, refactoring, and architectural reasoning Essential ...

oversee ETL/ELT pipelines to integrate batch and streaming data from multiple sources. Establish data governance, quality, security, privacy, and compliance standards. Implement metadata management and data lineage for transparency and traceability. Collaborate with data, ML, and analytics teams to deliver AI-ready datasets and features. Monitor …/ELT) using Python, SQL, or related tools. Experience with cloud-based data platforms and modern data architectures. Solid understanding of data governance, quality management, security, and privacy. Strong communication skills and ability to collaborate across technical teams. Preferred Experience Experience supporting AI/ML or advanced analytics projects. ...

design models at all levels of abstraction using data modelling tools Normalization & Denormalisation: Understanding of data normalisation rules and when to apply denormalisation. Metadata Management: Ability to define and manage metadata for data governance. Data Governance & Quality: Knowledge of data standards, lineage, and quality frameworks. Database Technologies ...

design models at all levels of abstraction using data modelling tools Normalization & Denormalisation: Understanding of data normalisation rules and when to apply denormalisation. Metadata Management: Ability to define and manage metadata for data governance. Data Governance & Quality: Knowledge of data standards, lineage, and quality frameworks. Database Technologies ...

Python is a plus) for automation and data processing tasks. Solid understanding of data warehousing concepts, ETL/ELT patterns, data quality, and metadata management . Strong problem-solving and troubleshooting skills . Excellent communication skills in English , with French proficiency (minimum B2) to collaborate with French-speaking ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance- define data governance and assurance for clients Data lifecycle- understand and apply data governance over a data lifecycle Metadata management- understand and promote the use of metadata repositories Data modelling- produce relevant data models across multiple subject areas Data standards- refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

maintain data quality and usability Design interoperable data solutions to meet client needs, advising on selection and implementation of data products and tools Stakeholder management Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities Develop and maintain strong client relationships, building trust with … innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

storage, scan costs) Experience designing data products for analytics and reporting with trusted definitions (facts, dimensions, SCD, conformed dimensions) Strong knowledge of data governance: metadata management, lineage, stewardship, data quality rules, and critical data elements Proficiency with data modelling tools such as ER/Studio, PowerDesigner, ERWin … assurance, and documentation Solid understanding of data modelling techniques such as normalization, denormalization, Data Vault, semantic modelling, and canonical models Familiarity with master data management (MDM), reference data frameworks, and designing conformed dimensions Proficiency in SQL and data profiling to validate models against source data and ensure completeness/ ...

storage, scan costs) Experience designing data products for analytics and reporting with trusted definitions (facts, dimensions, SCD, conformed dimensions) Strong knowledge of data governance: metadata management, lineage, stewardship, data quality rules, and critical data elements Proficiency with data modelling tools such as ER/Studio, Power Designer, ERWin … assurance, and documentation Solid understanding of data modelling techniques such as normalization, denormalization, Data Vault, semantic modelling, and canonical models. Familiarity with master data management (MDM), reference data frameworks, and designing conformed dimensions. Proficiency in SQL and data profiling to validate models against source data and ensure completeness/ ...

strategic direction and expert guidance. Partner with senior technology leaders to develop and implement modern data strategies. Design and deliver innovative solutions for data management, governance, and cloud migration. Oversee the development of robust data platforms using cutting-edge cloud technologies. Manage project teams, mentor junior staff, and support … implementation. Strong expertise in cloud technologies (AWS, Azure, GCP) with relevant certifications highly desirable. In-depth knowledge of data modeling, data lake design, and metadata management tools. Proven ability to design secure, scalable, and cost-effective data solutions in cloud ecosystems. Experience in the financial services sector, with ...

cloud-based data platforms (AWS, Azure, or GCP) Strong knowledge of data modelling (conceptual, logical, physical) and data lake design Experience with data cataloguing, metadata management, and governance tools Understanding of data security, privacy, and access frameworks Excellent stakeholder management and leadership skills Desirable: Cloud certifications ...

Design target-state architectures for data platforms, including data lakes, warehouses, integration layers, and analytics capabilities. Establish architectural standards and patterns for data modelling, metadata management, lineage, interoperability, and reuse. Partner with data engineering and delivery teams to ensure solutions are scalable, secure, and aligned to architectural principles. … Evaluate and guide technology choices, vendor solutions, and cloud adoption approaches. Contribute to building a strong data culture and improving organisational maturity in data management and architecture. Required Skills & Experience Proven experience as a Data Architect delivering enterprise-scale data transformation programmes. Strong knowledge of modern data architecture approaches ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which ...

/ELT design, and cloud-native architectures (Azure preferred) Demonstrable experience architecting data solutions that incorporate AI/ML capabilities Understanding of data governance, metadata management, and security best practices Ability to translate business requirements into robust technical designs Desirable Experience in highly secure or regulated environments (Defence ...

Architect. Strong hands-on experience with ETL/ELT, SQL, NoSQL, Oracle, and tools such as Talend, Informatica, DataStage, Collibra, and Alfresco. Expertise in metadata management, data quality, data warehousing, analytics, and GDPR governance. Advanced data modelling skills (conceptual/logical/physical). Strong communication, stakeholder management ...

business and technical requirements. Create and maintain conceptual, logical, and physical data models that adhere to enterprise architecture standards. Define data quality rules, metadata standards, and naming conventions to ensure governance and consistency across systems. Engineering Collaboration Generate DDL and collaborate with engineering teams on schema deployment, indexing strategies …/ELT engineers to ensure that pipelines, transformations, and data flows align with model structures. Governance & Documentation Contribute to data lineage, cataloging, and metadata management efforts in partnership with Data Governance teams. Clearly communicate model changes, business impacts, and dependencies to technical and non technical stakeholders. YOUR PROFILE ...

Data Requirement gathering, Determine ER, ER diagrams Logical data model, Multi-Dimensional Modelling Key Skills/Knowledge/Experience Strong experience in data governance, metadata management, and cataloging. Hands-on expertise with Microsoft Purview (catalog, lineage, classification, glossary). Experience supporting cloud data platforms, preferably Azure MS Fabric. … Understanding of data warehousing, Medallion Architecture, and analytics ecosystems. Strong stakeholder management and documentation skills. Person Specification Client Facing Team Member ...