26 to 50 of 172 Semantic Layer Jobs

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor … relationships with senior client stakeholders. Make and defend the business case for the semantic layer solution at the executive level. Lead our client sales and pre-sales efforts and shape data transformation programs. Drive the practice's thought leadership, innovation, and asset development on trends and agentic technologies ...

analytics foundations behind our quality-risk scoring. Core Responsibilities Lead architectural decisions across backend, cloud infrastructure and data systems Own the data model, semantic layer and cross-customer comparability behind our analytics and scoring Lead the migration between our two live production systems, ensuring integrity and minimal disruption … backend and database expertise: relational, warehouse/lake, and non-relational Strong data modelling skills and experience building data pipelines Proficiency with SQL and semantic layer tooling (Cube or equivalent) Experience integrating and reconciling data from multiple sources Solid understanding of data integrity, security and governance Experience designing ...

PleoMessy is seeking a senior contributor to lead the Data Services & Governance function, owning the semantic layer and analytics standards across the company. You will drive AI-augmented development practices and establish canonical data definitions that analytics teams and AI tools rely on. You will collaborate with ...

merchandise group, is looking for an analytics engineer or data analyst to own analytical domains end-to-end. You will define metrics in the semantic layer with stakeholders, model data in dbt, and ensure trusted answers are produced wherever used. You will partner with operations, commercial, finance ...

data governance maturity, providing actionable insights and recommendations to continuously elevate data management practices. Support governance of prioritized metrics and KPIs within the enterprise semantic layer, partnering with platform and analytics teams to ensure metric definitions align to governed data domains and standard business terminology. Partner with Privacy … e.g., Alation, Ataccama, Collibra) and data cataloging. Familiarity with cloud data platforms (e.g., Snowflake) and enterprise software applications relevant to governance tooling. Familiarity with semantic layer or metrics governance concepts (metric definitions, KPI standardization) preferred. Location Manchester, United Kingdom The #TeamGBT Experience Work and life: Find your happy ...

iterate on autonomous and semi‐autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM‐Powered … explain complex technical concepts to non‐technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms ...

Strategy. The Data Scientist will strengthen how the Foundation uses Power BI, data science and AI to support better decisions, creating trusted reports, dashboards, semantic models and reusable datasets that help establish one version of the truth. Acting as a Data Services business partner across the Foundation, the postholder … with teams to understand analytical needs, defining requirements and translating business questions into clear analytical approaches. Design and develop trusted Power BI reports, dashboards, semantic models and reusable datasets, including star schemas, DAX measures, KPIs, calculation logic and documented business rules. Introduce AI in a practical, responsible and well ...

caching strategies. Improve platform scalability and reliability. AI & Advanced Analytics Enablement Design data foundations for Machine Learning and Generative AI. Build feature stores and semantic layers. Enable real-time analytics and predictive modeling. Collaborate with Data Scientists and ML Engineers to support production AI solutions. Stakeholder Collaboration Work with ...

data platform aligned to the business and product strategy. Own and evolve the data architecture for Quantios Insights, including data ingestion patterns, lakehouse design, semantic modelling, and analytical layers. Define architectural guardrails and reference patterns for Databricks to support customer deployment flexibility. Contribute to the long-term roadmap … domain-driven canonical data models for all Quantios products and cross-product datasets. Architect medallion/lakehouse models (bronze, silver, gold) using Databricks. Ensure semantic models, KPIs, and analytical structures are consistent, scalable, and aligned with business requirements, and serve whichever BI and application layers consume them. Guide Data ...

established, and ready for someone to take to the next level. You’ll be the go‐to expert for our lakehouse/warehouse architecture, semantic models, and the pipelines that keep data flowing reliably across the business. This is a hands‐on senior individual contributor role … repository, including code quality, branching strategy, CI/CD, and release governance. Define and enforce best practices for data modelling, ingestion, transformation, orchestration, and semantic layer design. Drive platform reliability, performance, security, and cost optimisation across lakehouse/warehouse workloads. Act as technical lead for solution design, incident ...

analytical insights and AI innovations, enabling Pandora's journey to become the world's leading jewelry company. Responsibilities Leading enterprise information architecture design, creating semantic, conceptual, logical models that engineering teams translate into Azure Synapse and Databricks based physical implementations. Architecting domain data models for commerce (store, consumer, marketing … omnichannel, e-commerce), manufacturing (production, quality, materials), and supply chain (wholesale, inventory, distribution, planning) that reflect business capabilities. Designing data product interfaces and semantic contracts that define how business entities flow through bronze-to-gold transformations, enabling interoperability between domain-owned data products. Developing semantic layer architectures ...

assessment, roadmap, cutover, parallel-run validation, and decommission plans.Govern data modeling standards and patterns (dimensional star/snowflake, Data Vault, 3NF, wide-table designs), semantic layers (Snowflake semantic views, Horizon Context, BI semantic models), and data contracts for analytical and operational domains.Establish ELT/ETL and streaming … tuning (clustering keys, Search Optimization, materialized views, result caching, adaptive compute).Enable AI- and GenAI-ready architectures on Snowflake Cortex AI, agentic governance, and semantic layers for AI agents ensuring a governed, AI-ready data foundation.Partner with business, product, analytics, and engineering leaders to prioritize roadmaps and translate requirements ...

will lead a team of 8-10 people across Data Engineering, Analytics and AI. You will own the data platform, semantic layer, analytics estate and AI enablement agenda, while working closely with business and technology leaders across Hyve. Your immediate priorities will be to complete and embed … standard Hyve semantic data model; rationalise hundreds of duplicated reports into the core tens that matter; enable genuine stakeholder self‐service; and champion meaningful generative and agentic AI use cases across the business. This is a strategic and hands‐on leadership role. You will combine data architecture, engineering, analytics ...

related to data management. Design data structures that support reporting, dashboards, predictive analytics, and AI initiatives, including the support and design of a Universal Semantic Layer. Collaborate with Data Engineers, Data Analysts, and Business Intelligence teams to optimize data accessibility and usability. Support self-service analytics capabilities through well ...

career path that is difficult to develop in a purely technology‐focused role. Purpose of the role Responsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … that supports controlled and auditable agent behaviour. The role owns governed finance data products, semantic models and retrieval‐ready data services that are secure, permission‐aware, observable and suitable for AI, analytics and decision intelligence. Responsibilities Build and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account ...

career path that is difficult to develop in a purely technology-focused role. Purpose of the role Responsible for the finance data and ontology layer on which agentic solutions depend. Builds the entities, relationships, definitions, lineage and data contracts sourced from live ERP and EPM systems to a standard … that supports controlled and auditable agent behaviour. The role owns governed finance data products, semantic models and retrieval-ready data services that are secure, permission-aware, observable and suitable for AI, analytics and decision intelligence. Responsibilities Build and extend the finance ontology covering supplier, invoice, customer, receivable, journal, account ...

APIs, relational databases, and event-driven services. Design Natural Language to SQL (NL2SQL) capabilities, ensuring accuracy, explainability, and secure access to enterprise data. Define semantic-layer strategies that enable AI agents to understand enterprise data models, business metrics, terminology, and relationships. Architect decision intelligence capabilities that combine enterprise … stakeholders and 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 ...

resolution, improving client experience and driving operational efficiency Demonstrate control environment improvements and reduction in toil through common tooling and frameworks; uplift the metadata (semantic layer) of existing data to support AI and Natural Language Query (NLQ) usage, accelerate adoption of Mesh data architecture, reduce consumer friction ...

training opportunities commuting expenses covered office perks Verantwoordelijkheden Build clean, scalable ELT pipelines using dbt, SQL, PySpark, and Databricks Design curated models and semantic layers to standardize KPIs across Finance, People, and Ops Partner directly with business teams to turn complex requirements into reusable data products Implement governance ...

management design patterns. Ideally will have experience in creating Genie Agents, configuring data assets for Natural Language Querying and using Metric Views to create semantic layers. Experience of programming languages: SQL, python & pySpark etc. Experience of development practices: the use of versioning tools such as GitHub, work tracking tools ...

Overview In this role you design and build a unified semantic layer and governed data foundation across Finance, People, Procurement and Compliance. You will implement governance with Unity Catalog and DataHub, and develop data products on a modern stack (Databricks, dbt, SQL, PySpark) to enable trusted analytics … health insurance discounts commuting expenses covered Verantwoordelijkheden Design, build, and optimise data pipelines, models, and data products using Databricks, dbt, SQL, and PySpark Develop semantic models powering reporting, self-service analytics, conversational analytics, and Databricks Genie Implement governance with Unity Catalog-lineage, access control, data classification, and data quality ...

cloud-based Lakehouse platform using Microsoft Fabric Building scalable and reliable data pipelines using a Medallion architecture approach Designing robust data models and semantic layers across multiple business domains Establishing engineering best practices, governance frameworks and development standards Managing and developing a small team of data engineers Partnering with … stakeholders across the organisation to translate business requirements into scalable data solutions Enabling high-quality downstream reporting, analytics and Power BI semantic models Supporting long-term data innovation and AI initiatives across the organisation YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Strong expertise in dimensional data ...

security and governance at storage and reporting layers. Oversee batch and incremental data loads, tuning performance to meet SLAs. Reporting & Analytics Develop Power BI semantic layers and maintain Power BI reports, including paginated and interactive dashboards. Support the migration of Cognos solutions into Power BI. Support self‐service analytics … within enterprise analytics platforms. Strong proficiency in Azure Data Factory, Synapse, and cloud data services. Expert‐level skills in data modelling, ETL processes, and semantic layer design. Advanced programming capabilities in SQL (T‐SQL/Spark SQL), Python, and PySpark. Hands‐on experience with Power BI (Desktop ...