251 to 275 of 658 Metadata Jobs

enabling operational readiness and maintainable asset records. Develop asset information models aligned to: - Structured asset data deliverables (e.g. COBie) - Digital twin readiness and operational metadata standards Define integration strategy between design environments and operational systems, including but not limited to: - ACC/FORMA (or other similar CDE systems) - DCIM ...

upstream patches, with the testing and verification needed to trust the result. Build and operate shared platform services such as package indexes, registry mirrors, metadata services, and orchestration tooling that serve both external customers and internal ecosystem teams. Develop internal developer tools and CLIs (often in Go) that improve ...

keeping TechDocs accurate* Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented* Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation* Share effective ...

building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context ...

experience applying AI or machine learning to real business problems, ideally including agentic or LLM‐based systems. Strong grasp of modern platforms: cataloguing and metadata, semantic and context layers, and data quality across structured and unstructured data. A track record of influencing senior business and technology stakeholders and translating between ...

with OpenTelemetry or large-scale observability systems.Experience operating multi-tenant SaaS infrastructure at scale on Kubernetes.Experience building for AI/LLM consumers: structured APIs, metadata and discovery endpoints, deterministic outputs.Open-source contribution or maintainership, and comfort engaging a community in the open.Experience as an on-call user of Grafana, Prometheus ...

large-scale observability systems. Experience operating multi-tenant SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata and discovery endpoints, deterministic outputs. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana ...

best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.* **Data Lineage & Metadata Management:** Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds ...

implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data.Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds ...

Gold) Create enterprise-wide data models supporting Finance, Analytics and Reporting use cases Design and implement reusable Data Engineering Frameworks and Solution Accelerators Develop metadata-driven ingestion, transformation and orchestration frameworks Define governance, lineage, security and cataloguing standards across the platform Provide architecture leadership across Databricks, Azure and Power … Engineering using PySpark and Spark SQL Delta Live Tables (DLT) Unity Catalog implementation and governance Databricks Workflows Databricks Asset Bundles (DABs) Databricks Solution Accelerators Metadata-Driven Ingestion and Orchestration Frameworks MLflow, Feature Store and MLOps Frameworks Azure Data Platform (ADLS, Azure Data Factory, Synapse, Databricks) Azure DevOps, CI/ ...

Genie, Mosaic AI capabilities, Microsoft Fabric Copilot and Fabric Data Agent-style solutions where appropriate. · Ground AI outputs in governed data sources, semantic models, metadata, business definitions and reusable data products. · Support implementation of Retrieval Augmented Generation (RAG), vector search, semantic search and enterprise knowledge retrieval where aligned to client … products. · Experience using Python, PySpark, notebooks or equivalent platform tooling for data preparation, analysis, testing or automation. · Understanding of semantic models, business definitions, metrics, metadata and how they improve the reliability of AI-enabled analytics. · Awareness of Generative AI concepts, including prompts, embeddings, vector search, semantic search, RAG, AI agents ...

combines deep investment domain knowledge with strong analytical, architectural, and technology skills. You will help define enterprise investment data strategy, logical data models, metadata standards, data quality frameworks, and reusable investment data services while driving execution through agile technology teams.This position is an evolution of the traditional business analyst role … principles, standards, and governance frameworks.* Evaluate current-state data ecosystems and identify opportunities for simplification, standardization, and reuse.* Support enterprise initiatives related to AI, metadata management, data governance, and data quality.* Develop process flows, conceptual architectures, capability models, UML diagrams, and solution designs.* Participate in architecture reviews and provide recommendations ...

Engineering, BI, and Analytics teams to ensure efficient ingestion, transformation, and reporting solutions. Architect secure and scalable third-party data integrations. Drive data governance, metadata management, and regulatory compliance initiatives, including GDPR requirements. Support data platform governance and data cataloguing capabilities. Optimise data architecture for performance, reliability, scalability, and cost … expertise and experience working within hybrid cloud/on-premises environments. Experience developing Common Data Models (CDMs) for core business domains. Strong understanding of metadata management and data architecture frameworks. Experience integrating third-party systems, APIs, and data sources. Knowledge of data migration and modernisation strategies. Excellent stakeholder management ...

requirements into future-state data architecture designs.* Drive consistency across data domains, products, models, and integration patterns.* Support data governance initiatives, including data quality, metadata management, lineage, and master data management.* Review and approve architecture designs, ensuring adherence to enterprise architecture standards.* Act as a trusted advisor to leadership teams … cloud-based data ecosystems.* Proven experience designing and governing enterprise-wide data platforms and data operating models.* Deep knowledge of data modelling, data integration, metadata management, and data governance practices.* Experience supporting regulatory and compliance requirements within complex organizations.* Strong stakeholder engagement skills with the ability to influence senior business ...

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 will sit at the intersection of Information Architecture and Software Engineering—building models, languages … will 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 ...

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, controlled ...

teams to define and deliver data capabilities that enable investment decision-making and AI-enabled insights. You will lead the evolution of data models, metadata standards, and governance frameworks, while aligning enterprise data architecture with business objectives and agile delivery practices. #J-18808-Ljbffr ...

designing and building modern, well-governed data solutions using Microsoft Fabric and shaping data architecture across the organisation. The ideal candidate will drive metadata-driven pipelines, dimensional data modelling, data governance, and enterprise architecture, owning CRUD matrix decisions, data mastering, and data integrations. #J-18808-Ljbffr ...

Lead the design and development of AI, Data and Information Management policies, standards, and governance frameworks. Define enterprise architecture approaches for data fabric, interoperability, metadata, information lifecycle management, and AI governance. Analyse recurring delivery challenges and identify opportunities for improvement. Apply architectural guidance and lessons learned to medium and large ...

data storage systems. Support the integration of data from multiple systems and sources. Maintain consistent and reliable master data across the organisation. Manage metadata and improve data accessibility and understanding. Oversee the data lifecycle from creation through to retention and deletion. Use data analysis and reporting to support business decision ...

Collaborate with Business Analysts, Architects, SMEs and Data Owners to ensure data solutions meet business needs. Create and maintain data contracts, data definitions and metadata documentation. Support the management of data lineage and data governance requirements. Promote enterprise data standards, modelling frameworks and best practices. Ensure data structures ...

ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders. Maintain the model inventory and model metadata for the coverage area. Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards. ...

service degradation. Validate monitoring coverage prior to each migration wave. Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs ...

delivery of services and user interfaces all via public cloud. Job responsibilities Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

semantic foundation for data exchange, AI training, and digital twin deploymentDevelop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage trackingTranslate data architecture vision into scalable, cloud-native and microservices-based implementations in collaboration with engineering teamsDefine and deliver the telco digital ...