276 to 300 of 678 Metadata Jobs

embeddings, vector databases, retrieval and search technologies, memory architectures, grounding strategies. Enterprise platform depth. Oracle PL/SQL, OData, and comfort working inside large metadata-driven systems where behaviour is configured rather than coded. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, PydanticAI, the OpenAI ...

both human users and machine interpretation, you should have: A strong understanding of technical SEO fundamentals Experience improving site structure and internal linking, Metadata and indexing and page performance Familiarity with structured content and schema markup (e.g. Schema.org) An understanding of how content clarity, structure and authority influence AI-driven ...

both human users and machine interpretation, you should have: A strong understanding of technical SEO fundamentals Experience improving site structure and internal linking, Metadata and indexing and page performance Familiarity with structured content and schema markup (e.g. Schema.org) An understanding of how content clarity, structure and authority influence AI-driven ...

data mapping and pipelining activities in support of data integration exercises. Contributes to established corporate data patterns and standards. Ensures data meet the necessary metadata standards in support of semantic interoperability across digital systems. Deals with diverse datasets. Applies methodology for data quality management. Manages data analysis projects and exchanges ...

reduced, development costs lowered, and a consistent experience provided across all data latencies (Real-time, Recent History, and Deep History), data types (time series, metadata, unstructured) and services. Internal users are recognized as ultra-valuable sources of feedback. By mandating both internal and external DA workflows through the same ...

BigQuery for large‐scale data warehousing and analytics. Architect cloud solutions using GCP Cloud Architecture best practices. (Desirable: Experience with data lineage/metadata management tools, multi‐tenant architectures, data governance, and vendor system integrations). Required Skills 7+ years of experience in data engineering or data platform engineering, with … Nice to Have GCP Professional Data Engineer or Professional Cloud Architect certification. Experience designing or enhancing multi‐tenant data platforms, including tenant isolation and metadata‐driven pipelines. Experience with data lineage and metadata management tools such as Dataplex, Data Catalog, or OpenLineage. Experience with data governance and data quality frameworks ...

senior architecture position requiring much more than data modelling alone. You will work across enterprise architecture, data governance, data platforms, information management, metadata and emerging AI capabilities , helping ensure that data is treated as a strategic organisational asset. You will work closely with senior business and technical stakeholders, Enterprise Architects … architectures and models. Establish clear links between business objectives, information requirements, data assets and technology solutions. Provide architectural leadership across data governance, data quality, metadata and information management. Define data architecture principles, standards, reference models and reusable patterns. Work closely with Data Engineering teams on the design and evolution ...

Endpoint, Cloud Apps) Data Governance (catalogue, scanning, classification) Records Management (retention labels & policies) Insider Risk Management eDiscovery (Standard & Premium) Manage scanning rules, data connectors, metadata sources, and catalog assets. Support integration with M365, Azure, Power Platform, and on premises data sources. Monitor Purview alerts, DLP incidents, policy matches, and governance … issues to engineering or architecture teams as required. Maintain audit trails, compliance dashboards, and monthly reporting. Assist with maintaining data classification schemas, taxonomy, and metadata models. Support data owners and stewards in cataloguing and tagging data assets. Run data scans, quality checks, and lineage validation tasks. Produce and maintain operational ...

platform and lakehouse designs, data pipelines and integration patterns, data models, migration approaches and target‐state blueprints. Define and apply standards for data quality, metadata, lineage and governance within engagement solutions, ensuring designs meet client regulatory and security requirements. Understand how data underpins the priorities of Banking & Capital Markets clients … Databricks, Snowflake), including data pipeline and integration design. Strong data modelling capability across conceptual, logical and physical models, with practical experience of data quality, metadata and governance design. A working understanding of AI and generative AI, including how AI solutions depend on data foundations (e.g., data for RAG and retrieval ...

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 the core services … Data Lake, OneLake, Fabric Warehouse Processing & ETL: Fabric Data Factory, Data Factory CDC, Fabric/Synapse Spark, ADF, Synapse Pipelines, Fabric, dbt Data management & metadata: Purview AI: Foundry, (including Agent Service), ML Data Product mentality : You build Data Products where every pipeline and dataset is discoverable, addressable and secure ...

other storage systems. Maintain and update data models as business needs evolve. Ensure data integrity, quality, and consistency across systems. Document data models, metadata, and data dictionaries. Support data lineage and impact analysis efforts. Conceptual Data Models: High-level models that outline business entities and relationships. Logical Data Models: Detailed … aligned to respective layers. Meeting notes, requirement gathering documents, and stakeholder feedback summaries. Comprehensive documentation of data elements, definitions, data types, and business rules. Metadata repositories that support data governance and discovery. Entity Relationship Diagrams (ERDs) Visual representations of data entities and their interrelationships, used for communication with stakeholders ...

real-time operational services with advanced performance tuning. Design conceptual, logical, and physical data models for data warehouse environments. Establish and maintain a metadata catalog across multiple products. Create documentation and collaborate with solution teams on application and code design. Improve and streamline data flow and data quality processes; challenge … robust error handling. Strong data modeling and architecture skills for warehouse environments. Experience in reverse engineering and producing data flow and asset diagrams; establishing metadata catalogs. Unix and Python scripting experience. Strong analytical skills and the ability to connect data across systems and diverse claims products. Effective verbal and written ...

services. Build and govern Retrieval-Augmented Generation (RAG) architectures using structured and unstructured enterprise data sources, including embeddings, vector/hybrid search, chunking, metadata filtering, reranking, grounding, and citations. Develop secure, reliable integrations between agents and enterprise systems using Model Context Protocol (MCP), REST APIs, relational databases, and event-driven … domain experts to transform complex business requirements into reusable AI capabilities. Collaborate with data engineering teams to develop AI-ready data products, semantic models, metadata frameworks, and enterprise knowledge layers. Stay current with emerging AI technologies, frameworks, and industry practices, evaluating their applicability within supply chain and enterprise environments. Education ...

data estate, including cloud adoption, platform optimisation, data migration initiatives and the rationalisation of legacy environments. Establish and promote best practice in data governance, metadata management, data quality, privacy, retention and stewardship. Define architecture patterns that enable advanced analytics, AI and data‐driven decision making, ensuring the organisation can maximise … regulatory requirements. Experience leading data modernisation, migration and transformation initiatives, including cloud adoption and legacy platform rationalisation. Strong knowledge of data integration, modelling, metadata management and enterprise data architecture best practices. Ability to develop strategic roadmaps and translate long‐term architectural vision into practical delivery plans. Excellent stakeholder management ...

establish reusable patterns for data modelling, ETL and ELT, APIs and MCP interfaces, and embed Okta access management, Microsoft Purview data-loss prevention, metadata, lineage and data-quality controls You guide legacy-data decoupling and migration, challenge design choices where needed, and own architecture decisions across data sourcing, transformation … practical knowledge of SQL, data structures, APIs and MCP interfaces You understand data-governance requirements including access controls, Microsoft Purview data-loss prevention, metadata, lineage and data quality, with Okta-based access management experience or strong familiarity You have experience integrating legacy and/or on-premises sources into cloud ...

Oracle and Teradata) into the new cloud-based Unified Data Platform using modern Lakehouse and Data Vault approaches. Implement data governance standards, including metadata management, lineage and data quality rules, to ensure "Gold Standard" datasets. Provide architectural consultancy to agile delivery squads, ensuring solutions adhere to architectural policies and practices. … integrating data from multiple source systems. Experience supporting data platform modernisation, migration or transformation initiatives is advantageous. Understanding of data governance practices, including metadata management, data lineage, and data quality controls. Strong SQL and data transformation skills, with experience creating datasets that support reporting, analytics, and self-service data consumption. ...

Principal Information Architect (Executive Director) at JPMorganChase and become a promoting force behind the development and adoption of cutting-edge, cloud-based technologies. Make metadata real, usable, and impactful in modern engineering. In this role, you’ll sit at the intersection of Information Architecture and Software Engineering—building models, languages … have room to grow your craft, deepen your technical breadth, and influence standards across a large, complex environment. As a Principal Information Architect, Metadata at JPMorganChase within the Commercial & Investment Bank, you will connect enterprise modeling and metadata practices to real software engineering assets and workflows. You will develop metamodels ...

across critical datasets used in operational and regulatory reporting. Translate governance and reporting requirements into actionable lineage deliverables (source-to-target mapping, lineage diagrams, metadata standards, and audit evidence). Work with Data Platform, Data Engineering, Architecture, Risk, Compliance, and Security teams to define lineage standards, metadata capture, and control … reporting controls, or data transformation programs (preferably in financial services). Core Skills & Experience Minimum 3 years of relevant experience in data governance, lineage, metadata management, or controls programs within finance/banking. Strong understanding of data lineage concepts: technical lineage, business lineage, column-level lineage, impact analysis, and provenance. ...

Oxford University Press is seeking a Publishing and Content Domain Architect to lead governance of reference data and semantic metadata, align data models with business needs, and drive standardization across publishing and product domains. The role requires collaboration with SMEs, mapping data formats, enabling data quality, and shaping the data ...

define data standards, partner with stakeholders, and drive remediation programs to ensure trusted, business-ready data. The role requires experience in data governance disciplines, metadata management, and data quality controls, with strong analytical and communication skills to influence across business and technology teams. #J-18808-Ljbffr ...

teams realise value from digital transformation. Join a multidisciplinary team delivering analytics, automation, digital twins and AI initiatives, with a focus on data quality, metadata, taxonomy and information architecture. #J-18808-Ljbffr ...

CMOD document migration from OpenText Livelink. You will design, optimise and troubleshoot SQL queries and data processing jobs, while driving data quality, lineage and metadata management across cloud migrations. This role is based at your nearest regional office or hub with a hybrid working pattern. #J-18808-Ljbffr ...

services. Develop multi-step and agentic AI workflows using structured outputs, tool calling and schema validation. Implement vector, lexical and hybrid retrieval, reranking, metadata filtering and evidence selection. Build robust asynchronous services with appropriate retries, timeouts and failure handling. Develop automated unit, integration, contract and regression tests. Implement logging, tracing ...

taxonomy Acquire documentation meta-data requirements and enhancement thereof to aid in extraction reports for use by the Business Maintain and remediate document metadata and related exceptions Aid team members with documentation expertise to allow for training sets to be collated for AI model to drive auto-classification of documents ...

with agile delivery practices and product discovery techniques. Experience working with analytics platforms, A/B testing or experimentation frameworks. Knowledge of content workflows, metadata or editorial systems. Qualifications Degree or equivalent experience in a relevant discipline is typical for this role, though demonstrable product experience can be an alternative. ...