1 to 25 of 89 Remote/Hybrid Semantic Layer Jobs

modelling is at the heart of this role. You’ll shape the layered warehouse model, define the grains and conformed dimensions, and design the semantic layer that connects real business questions to reliable answers. You’ll own the architecture end to end, including data contracts with Engineering, multi … build on. What you’ll be doing Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer. Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions and the flexibility to answer cross-subject business ...

Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster … some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position ...

# Semantic Governance Managing Consultant - Ontologies and SemanticsBirmingham, Bristol, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Data & AI* ID 529956-en\_GB## **Who You'll Be Working With**You will join the Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. … Data Governance, AI & Analytics.Our Data Management practice is one of the largest and most successful in the UK, delivering innovative enterprise data, governance and semantic transformation programmes for global clients.The Enterprise Data Management capability provides services across Data Governance, Data Strategy, Metadata Management, Master Data Management, Data Architecture, Data ...

this and fix it. That means you'll set the standards rather than inherit them. No legacy team, no committee, no five-year-old semantic layer you're not allowed to touch. Which cuts both ways. Take our unit economics. Revenue per household is a commercial assumption rather … agree, and you'd build the reconciliation and automated checks that keep them agreeing as we scale. Make self-serve work properly. A clean semantic layer, sensible naming, documentation people actually read, and a small set of dashboards trusted enough that nobody builds their own version ...

solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern … capabilities. Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms. Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector ...

solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern … capabilities. Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms. Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector ...

reporting.Define end-to-end solution architectures spanning data engineering, analytics, machine learning, and Generative AI workloads.Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI.Design … Intelligence capabilities.Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms.Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture.Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval ...

9fin.Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards.Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers.Be the embedded … optimisation and reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs.Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Engagement and event analytics — designing tracking/instrumentation and analysing ...

9fin.Explain what's moving the numbers. Diagnose spike drivers and build reproducible analysis frameworks rather than one-off dashboards. Own content datasets and the semantic layer. Author dbt models on BigQuery and own the Omni semantic layer so the newsroom gets fast, trustworthy, self-serve answers. … reusable datasets.dbt & a cloud data warehouse (BigQuery, Snowflake or similar) — commercial experience building production models, tests and docs. Modern BI with an integrated semantic layer — building self-serve dashboards and owning metric definitions (e.g. Omni, Looker, Thoughtspot).Engagement and event analytics — designing tracking/instrumentation and analysing behavioural ...

adoption of emerging BI technologies, tools, and frameworks to enhance capability and deliver scalable, innovative data solutions. Oversee data modelling, metadata management, and semantic layer design, ensuring the delivery of trusted, reusable, and high-performing data assets that enable consistent analytics and reporting. Provide technical leadership across complex … pipelines, automated testing, and monitoring. Experience in defining and tracking technical KPIs (e.g., query performance, data refresh rates). Expertise in data modelling, semantic layer design, and metadata management to maintain consistency and performance. Applied understanding of data governance, privacy, and compliance frameworks (e.g., General Data Protection Regulation ...

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 ...

means a big push on our BI capabilities, covering new chart types, heatmaps, drilldowns and a reworked dashboard grid, plus targets and budgets, a semantic layer, and AI features including a chat over a customer's own data. What you’ll be doing Performance work. These are dashboards … transaction data, and speed is a feature. Targets and budgets: letting operators set goals per site, per revenue centre, and track against them. Our semantic layer, so metrics mean the same thing everywhere they're used. AI features: dashboard summaries, an AI chat over a customer ...

with business and technical stakeholders to shape solution design, governance, security and best-practice adoption. - Provide technical leadership across FDI deployments, data modelling and semantic layer configuration. - Lead the development and implementation of dashboard and enterprise reporting solutions. - Support the transformation of existing reporting and analytics capabilities into … strong experience in: - Oracle Fusion Data Intelligence (FDI) - Oracle Fusion Cloud Applications - Oracle Analytics Cloud (OAC) - Data analytics and enterprise reporting - Data modelling and semantic layer configuration - Reporting and dashboard solutions - Data integration strategies and architecture - Enterprise reporting and analytics transformations - Security, governance and Oracle Cloud best practices ...

with business and technical stakeholders to shape solution design, governance, security and best-practice adoption. - Provide technical leadership across FDI deployments, data modelling and semantic layer configuration. - Lead the development and implementation of dashboard and enterprise reporting solutions. - Support the transformation of existing reporting and analytics capabilities into … strong experience in: - Oracle Fusion Data Intelligence (FDI) - Oracle Fusion Cloud Applications - Oracle Analytics Cloud (OAC) - Data analytics and enterprise reporting - Data modelling and semantic layer configuration - Reporting and dashboard solutions - Data integration strategies and architecture - Enterprise reporting and analytics transformations - Security, governance and Oracle Cloud best practices ...

innovations, enabling Pandora's journey to become the world's leading jewelry company. What to expect from the roleLeading 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 … 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 that provide business-oriented ...

enabling Pandora's journey to become the world's leading jewelry company. What To Expect From The Role 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 ...

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 ...

analysis. Key Responsibilities Design, develop, and maintain scalable data pipelines and infrastructure that power real-time analytics and reporting. Take ownership of our semantic layer using Cube.js, enabling reliable, self-serve analytics across the organisation. Integrate and unify data from Salesforce, CDP, and SCV sources, ensuring clean, consistent … hands-on experience in data engineering, with a proven track record of leading and delivering complex data initiatives end to end. Great understanding of semantic layers such as Cube.js you've built and maintained semantic layers and understand pre-aggregations, caching strategies, and multi-tenancy. Strong experience integrating ...

future of travel with us About the RoleWe’re looking for an Analytical Engineer to help shape the trusted data models, metrics and semantic layers that power decision-making across On the Beach.This role sits at the intersection of data engineering, business intelligence and emerging AI capabilities. … Engineering, Analytics, Product, Commercial and Technology teams to create high-quality analytical data products.You’ll help define and maintain the business logic, metrics and semantic structures that sit between our data platform and the teams using data every day.You’ll be responsible for:Designing, building and maintaining trusted analytical ...

people understand themselves, how practitioners sharpen their craft, and how teams design better support. The stack we work in: Fivetran → Databricks (Unity Catalog) → dbt → semantic layer → Power BI and R/Quarto for partner-grade reporting. Mature in some places, still being built in others. You’d help … prescribing, educational navigation, and therapy sessions all under one roof. About The Role You build the bridge between raw source data and the dbt layer the rest of the team builds on, working across the medallion architecture. Your craft is modelling raw, messy, real-world source data (Semble, Zendesk ...

another CDC/replication tool feeding a warehouse from an operational database (MySQL, Postgres). Experience with Looker/LookML or another BI semantic layer. Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data. Experience building or supporting AI/LLM-facing ...

data, validate governance controls, and support quality and metadata monitoring activities. Collaborate with Data Architecture, Data Engineering, and Analytics teams to embed governance, catalog, semantic layer, and monitoring requirements into solution design and delivery. Data Quality Engineering Profile enterprise data to assess quality, identify risks, establish baselines ...

work across the full data and BI lifecycle, owning complex solutions from initial stakeholder engagement and requirements gathering through to pipeline development, data modelling, semantic layers and Power BI delivery. You'll have the opportunity to: ·Design and build production-grade pipelines using Azure Databricks, Python, PySpark ...

Doing Business Intelligence & Reporting Develop engaging Power BI dashboards and reporting solutions for a variety of business functions. Create and manage semantic layers, datasets and reusable reporting assets. Build advanced DAX measures, calculations and business logic. Improve dashboard performance, scalability and end-user experience. Apply data security controls ...

strategic vision and hands-on execution of our next-generation Object-Centric Data Fabric. You will transition traditional application-centric architectures into a centralised semantic layer that seamlessly unifies multi-stream operational data—including Electronic Data Capture (EDC), patient telemetry, and real-world health datasets. In this role … query optimization, and regulatory documentation. This allows you to focus on driving high-impact platform architecture.Data Fabric & Lake Architecture: Architect and evolve the enterprise semantic data fabric, converting multi-stream clinical execution datasets into an object-centric model. Design and execute a modern Data Lake strategy centred on Apache ...