251 to 275 of 634 Permanent Metadata Jobs

similar) for data integration, pipeline development, and automation. Experience with modern data architectures, including data lakes/warehouses, governance frameworks, and master/metadata management. Hands‐on experience with Generative AI and LLMs, including RAG, embeddings, vector search, GraphRAG, prompt engineering, and agent frameworks (e.g. LangChain, LlamaIndex). Strong stakeholder ...

Develop and implement global SEO, AEO, and GEO strategies to increase visibility, authority, and organic traffic. Optimise website content, technical architecture, structured data, and metadata to maximise discoverability across traditional and AI-powered search platforms. Drive visibility and brand presence within AI-driven search experiences including ChatGPT, Claude, Microsoft Copilot ...

directly with client business goals. App Store Optimisation (ASO): Optimise app store listings to improve visibility and conversion – conducting keyword research, writing copy, executing metadata updates and creating visual assets. As well as, testing creatives and copy, turning insights into action. Community Management & Insights: Monitor app ratings and reviews ...

objectives. Team Overview The Common Tooling Platform Data Services team develops and maintains microservices that handle the fetching, enriching, consolidating, and distribution of network metadata to customers. The team also creates an event-based inventory system to facilitate communication across the network ecosystem, ensuring efficient management and accessibility of network ...

Identify, classify, define and secure ownership for critical data elements used in data products, reporting and core operational processes. Data Cataloging: Maintain and enrich metadata for critical data elements, including definitions, ownership assignments, lineage mapping, alert configuration and review cycles. Data Quality Measure & Monitor: Define, implement and monitor data quality ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...

embed this into the active design and asset verification lifecycle.* Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice.**Commercial, Bidding & Client Relations*** Formulate the digital and BIM execution strategies for major ...

constraints. Desirable Knowledge of relevant architecture frameworks, notations and modelling tools, such as TOGAF, MODAF, ArchiMate or BizzDesign. Experience in data strategy, governance, modelling, metadata, standards or recognised data management good practice such as DAMA-DMBOK. Knowledge of cloud, hybrid and on-premise environments, systems integration and modern data-sharing ...

constraints. Desirable Knowledge of relevant architecture frameworks, notations and modelling tools, such as TOGAF, MODAF, ArchiMate or BizzDesign. Experience in data strategy, governance, modelling, metadata, standards or recognised data management good practice such as DAMA-DMBOK. Knowledge of cloud, hybrid and on-premise environments, systems integration and modern data-sharing ...

close it" role -- you will drive development from 3-Amigo's refinement sessions all the way to post-deployment observability. Design and build metadata driven,eventbaseddistributeddata processing platformusing technologies such asPython,Spark,Airflow, Iceberg,DynamoDB,AWS Glue, S3. Playan activerole in the design, development, and deployment ofour business-criticalsystem. Building ...

/sub MQ, the heart of our system, offers high availability, low latency and message persistence. We provide gRPC and HTTP APIs for various metadata, while PostgreSQL and ElasticSearch serve as our go‐to databases. Responsibilities: Design, implement and maintain complex designs/features written in Python and Rust Implement ...

embed this into the active design and asset verification lifecycle. Data Management: Own the strategy for the Common Data Environment (CDE), enforcing strict metadata governance, asset data drops (COBie), and information security protocols across the engineering practice. Commercial, Bidding & Client Relations Formulate the digital and BIM execution strategies for major ...

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 ...

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 ...