501 to 525 of 634 Permanent Metadata Jobs

including data flows, data domains and data ownership considerations. Specify Apache NiFi architecture patterns, flow standards, interface contracts and reusable ingestion components. Define governance, metadata, lineage, auditability, security monitoring and data quality requirements. Produce High Level Designs, Low Level Design principles, Architecture Decision Records and design assurance material. Define … JSON, Parquet, Avro and proprietary formats. Experience designing solutions that operate across multiple security classifications and secure domains. Strong knowledge of data governance, lineage, metadata management, data quality, access control and auditability. Ability to define clear interface contracts, data mappings, transformation rules and secure data exchange patterns. Strong stakeholder engagement ...

Architecture Design conceptual, logical, and physical data models for financial, regulatory, and operational datasets. Define ingestion, transformation, storage, and consumption patterns. Establish principles for metadata, lineage, reference data, and data stewardship. Collaborate with SMEs to translate business requirements into scalable data models. GCP Engineering Alignment Architect solutions using GCP services … Composer). Proven experience designing complex, cross-team, enterprise-scale solutions. Advanced data modelling (3NF, Data Vault, dimensional modelling). Deep understanding of metadata, lineage, data governance, and reference data frameworks. Strong experience with finance data flows‐ledger, MI, reconciliation, and reporting. Ability to lead engineering teams and drive architectural ...

architectures, including generative AI, large language models, retrieval approaches and agentic AI. Deep understanding of enterprise data capabilities, including data platforms and products, metadata, data quality, governance and modern data architecture. Demonstrated ability to translate AI use cases and emerging technologies into enterprise data, technology and operating-model strategies … with executive and non-technical audiences. What Would Make You Stand Out: Experience working in financial markets. Experience applying AI to transform data management, metadata, governance, data quality, or data operations. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network ...

strategy, compliance, and risk management. Develop Governance Assets: Lead the creation and adoption of key artefacts such as data dictionaries, catalogues, lineage documentation, and metadata repositories. Champion Data Literacy: Promote data literacy across the organisation by designing and delivering education programmes for non-data professionals. Integrate Governance with Platforms: Drive … technical expertise in Snowflake, SQL, Power BI, and familiarity with Azure DevOps, confluence. Understanding of regulatory frameworks (e.g. GDPR) and risk management. Experience with metadata management, data quality tooling, and MDM platforms. Familiarity with Dynamics CRM or equivalent technology is favourable. Experience with Product Operating Model approaches is preferred. Professional ...

data catalogues, and lineage tooling Design and maintain semantic models to support agentic‐AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation … reduce delivery risk Governance & Stakeholder Engagement: Present architecture decisions to senior stakeholders, architecture review boards, and regulatory audiences Support regulatory compliance through robust lineage, metadata management, and data quality evidence Mentor junior architects and engineers within the Information Architecture community of practice Requirements Proven experience in data architecture, data engineering ...

strategy, compliance, and risk management.· Develop Governance Assets: Lead the creation and adoption of key artefacts such as data dictionaries, catalogues, lineage documentation, and metadata repositories.· Champion Data Literacy: Promote data literacy across the organisation by designing and delivering education programmes for non-data professionals.· Integrate Governance with Platforms: Drive … technical expertise in Snowflake, SQL, Power BI, and familiarity with Azure DevOps, confluence.· Understanding of regulatory frameworks (e.g. GDPR) and risk management.· Experience with metadata management, data quality tooling, and MDM platforms.· Familiarity with Dynamics CRM or equivalent technology is favourable.· Experience with Product Operating Model approaches is preferred.· Professional ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication and stakeholder ...

ensuring agreed actions are progressed and escalated appropriately. Embed Data Governance by design into projects and technology changes, ensuring ownership, lineage, standards, controls, metadata and data quality requirements are addressed from design through implementation. Work closely with the Head of IT Governance to define and manage the Data Governance … domains, role accountabilities, governance ceremonies, training and engagement. Experience of managing and acting as product owner for solutions that hold business terms, data definitions, metadata, lineage, glossary, data dictionary, master data and reference data assets. Adept at embedding data governance by design into business and technology change. Experience of embedding ...

security validation, and compliance evidence requirements are met. Persistent WDP AI Architecture & Advanced Automation/Agentic Workflows (Future Focus) Design and implement data schemas, metadata catalogs (Collibra), and Python-based Retrieval-Augmented Generation (RAG) databases on WDP Databricks to sustain a persistent, multi-session context model. Engineer a secure conversational … Development (TDD) methodologies. Strong understanding of CI/CD pipelines, schema-as-code practices, and automated release/compliance gating. Working knowledge of Databricks, metadata cataloging tools (e.g., Collibra), and Retrieval-Augmented Generation (RAG) architectures. Familiarity with agentic and generative AI workflow design, including secure conversational query interfaces. Positive attitude ...

Bring your Software Engineering to the next level and become an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Software ...

Job Summary Our corporate activities are growing rapidly, and we are currently seeking a full-time, office-based Data Engineer to join our AI team. This position will work on a team to accomplish tasks ...

from complex source systems, combining multiple sources into conformed analytical models. Make sure data models work with other datasets to support reuse and scalability. Metadata, Quality and Standards Design and contribute to metadata repositories, and suggest improvements to existing metadata management. Use a range of tools for storing, managing … tasks. High-quality dimensional data models built and maintained using dbt. Well-documented, quality-assured analytical datasets ready for reporting and advanced analytics. Better metadata capture, storage and presentation, enabling intelligent and responsible data use. Consistent application of data modelling standards, documentation and best practice. What We're Looking ...

workflows). Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices … NoSQL data to an ontology.Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar) Nice to have Metadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate ...

help design scalable data models and governance solutions supporting enterprise data, risk and regulatory requirements. Key responsibilities Design and maintain enterprise data and metadata models. Develop Python solutions using Pydantic and FastAPI . Configure and enhance Collibra asset models and governance workflows. Build reusable automation, validation and integration components. Work … with REST APIs, JSON, YAML and SQL. Support data quality, lineage, taxonomy and metadata management. Collaborate with technology, architecture, risk, compliance and business stakeholders. Leverage AI-assisted development tools such as GitHub Copilot, ChatGPT or Claude responsibly. What we're looking for Strong senior-level Python development experience. Hands ...

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: running … 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 ...

data. Design and implement data management operating models, including governance frameworks, stewardship, policies, standards and processes. Lead or contribute to data governance, data quality, metadata management, master data management (MDM), data lineage and catalogue initiatives. Translate complex technical concepts into clear business outcomes, influencing senior stakeholders and driving organisational change. … designing and delivering data management, data governance or Master Data Management (MDM) solutions within consulting or industry. Experience delivering initiatives such as data catalogues, metadata management, data lineage, data quality, master data consolidation or governance frameworks. Hands-on experience with at least one leading data governance or data management platform ...

ideal for hands‐on architects who want to be individual contributors and technical leaders. You’ll work at the intersection of data modeling, metadata standards, and search technologies, with the opportunity to influence platform‐wide decisions and long‐term strategy. As a news architect in the News team at LSEG … data architecture decisions for real‐time news ingestion, enrichment, storage, indexing, and distribution. Develop data standards, schemas, and contracts for news content, metadata, and derived signals to ensure consistency and quality across the platform. Partner closely with engineering teams improving signal discoverability through normalizing metadata and implementing industry standards. Ensure ...

time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code approaches Optimising and troubleshooting pipelines for performance, reliability and scalability Developing reusable … formats Proficiency in Python and/or TypeScript Understanding of CI/CD, Git and software development lifecycle practices Knowledge of data governance, security, metadata, lineage and master data Strong stakeholder communication and ability to translate business requirements into technical solutions Defence, Government or other secure-sector experience would ...

acceptance criteria that enable delivery teams to move quickly without losing rigor. Design and drive a modernization roadmap spanning data platform evolution, quality tooling, metadata/lineage enablement, and scalable operational processes. Identify and implement AI opportunitiesincreasing straight-through processing, and improving data quality—while ensuring solutions are safe, explainable … cycle time) and use them to refine the roadmap. Required qualifications, capabilities, and skills Proven track record in data management: system-of-record, lineage, metadata, data quality, controls, stewardship, and lifecycle management. At least 10 years of Financial Services experience, with data, technology and operations experience blended with knowledge ...

once per month). At least once a month in London for team face to face. Scope: The role covers enterprise-wide data governance, metadata management, and data quality initiatives. It spans multiple data platforms, including Microsoft Fabric, and works across business and technical teams to improve governance maturity, accountability … pipelines. Define, implement, and continuously improve data governance frameworks, policies, and standards. Act as a trusted advisor on data governance, data quality, and metadata management across theorganisation. Engage with senior stakeholders toagreedata ownership, stewardship, and accountability models. Support and guide data producers and consumers to improve data quality, usability ...

through our Hybrid Work Model .Job DescriptionKey Responsibilities May Include:Lead the development, implementation, and scaling of core data management capabilities, including data quality, metadata, master and reference data, content and document management, and data storage and operations.Coordinate delivery of data management activities across business, technology, legal, compliance, and regional … adoption activities required to embed new data management practices, data literacy and data-driven ways of working.Work with accountable owners to ensure data quality, metadata, master data, governance and control requirements are transitioned into sustainable BAU practices.Benefits Realisation & ReportingDefine and track transformation outcomes, maturity improvements, risk reduction, adoption indicators ...

warehousing and analytics use cases. Conduct model reviews, impact analysis, and version control using erwin or comparable tools. Participate in data governance initiatives, including metadata management, naming standards, and lineage documentation. Optimize models for performance, scalability, and maintainability across large-scale environments. Assist in database migrations, schema comparisons, and synchronization … query execution plans. Experience with data modeling best practices: normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD) Experience producing and maintaining data dictionaries, metadata, and data lineage documentation. Familiarity with version control (e.g., Git) and model comparison/diff tools. Excellent communication skills with the ability to clearly explain ...

similar platforms, including producer and consumer behavior, lag, delivery semantics, and how streaming issues propagate into downstream datasets and analytics. Data quality, lineage, and metadata concepts: You are familiar with how data teams reason about data quality, upstream and downstream impact, and change management, and have experience working with data … lineage, metadata, or transformation tooling (for example dbt, OpenLineage, or related ecosystems), or have operated in environments where these concepts are core to reliability. Programming & querying: You are comfortable working in at least one programming language commonly used in data systems (for example Python, Scala, Java, or Go), along with ...

with legal, regulatory (GDPR), and company requirements for data privacy, security, and usage. Facilitate the creation and maintenance of business glossaries, data dictionaries, and metadata management tools. Provide guidance and training to data stewards, business users, and technical teams on data governance principles and practices. Monitor and report on data … Strong understanding of data governance frameworks (e.g., DAMA‐DMBOK), data management principles, and industry best practices. Strong experience with data quality management, data cataloguing, metadata management, and data lineage tools. Familiarity with data privacy regulations (e.g., GDPR) and compliance requirements. Proficiency in data management platforms (e.g., Azure Data Lake, Databricks ...

best practice across projects and programmes, including the implementation of standards, governance frameworks and digital delivery processes. Establishing and improving information governance, data quality, metadata, taxonomy and information architecture approaches that maximise the value of information assets. Developing Information Management delivery plans, Common Data Environment (CDE) strategies, reporting frameworks … supporting projects and programmes in Information Management, BIM, data management, digital engineering or related advisory environments. Understands the importance of information governance, data quality, metadata, taxonomy and information architecture in enabling digital transformation. Can build trusted relationships with clients, partners and multidisciplinary teams, collaborating effectively across organisational boundaries. ...