101 to 125 of 170 Semantic Layer Jobs

Define, own and evolve enterprise grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Lead the design of cloud based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Act as a trusted technical partner to clients … data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics ...

Define, own and evolve enterprise grade data architectures, ensuring scalability, sustainability and alignment with client objectives. Lead the design of cloud based data platforms, semantic layers, integration patterns and data models. Establish governance standards, frameworks and principles that guide engineering teams. Act as a trusted technical partner to clients … data platforms, orchestration, metadata management, CI/CD and architectural components such as DevOps. Demonstrable experience architecting solutions using medallion architectures, including curated gold-layer models designed for analytics consumption. Strong knowledge of unity catalog (or similar), data governance, lineage, cataloguing and metadata-driven design. Awareness of cloud economics ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

real-time data-processing solutions. Lead the design of a Customer Data Platform. Build and evolve a lakehouse architecture using AWS technologies. Create governed semantic models, consistent metrics and clear data definitions. Enable secure, self-service data analysis using modern AI tooling. Automate manual, repetitive or fragile data processes. … open table formats such as Iceberg. Medallion architecture and dimensional data modelling. Strong SQL and Python. SQL Server, SSIS/SSDT and Power BI. Semantic layers, common metrics and data glossaries. Data governance, lineage, retention, classification and auditability. Managing and developing a small technical team. You should also ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support Accenture sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support our client sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus ...

solution. THE WORK Build Knowledge Graph components that contribute to transforming a client's data architecture. Design, develop, and implement AI and semantic solutions; ensure their work integrates cleanly with the broader system. Work alongside the project team and delivery leads. Build solid working relationships with client counterparts … their workstream. Help assemble the supporting evidence for the recommended semantic layer solution. Support our client sales efforts when called on. Keep developing skills in cutting-edge Data & AI solutions, especially agentic technologies, and shares with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus ...

dedicated Analytics Engineer in London, hybrid. You’ll blend data engineering, analytics engineering, and business partnership to turn raw data into trusted models and semantic layers for decision-making. You’ll collaborate with Product, Engineering, Risk, Finance, Investment, and Marketing to design pipelines, models, and governance, while shaping ...

deprecation and change communication — with multiple consumer teams. Working knowledge of modern data-consumption patterns (REST/GraphQL APIs, event streams, Data Mesh products, semantic layers) and how to select the right pattern per use case. Track record driving adoption of shared services across multiple consuming teams, including measurable ...

understanding of how AI capabilities are embedded within existing business systems and workflows. Exposure to data platform architecture (Snowflake, medallion/lakehouse patterns, semantic layers) and how governed enterprise data enables AI at scale. Track record of leading enterprise transformation through influence - driving adoption, managing change, and building cross ...

Fitch Group's Chief Data Office seeks an Associate Director to join the Enterprise Data & Analytics team in London. You will lead semantic layer strategy, ontology development, and AI-ready data products, collaborating with data governance and business stakeholders to scale capabilities across the organisation. With … years of relevant experience in metadata, ontologies or semantic layers, you will shape standards, drive governance, and translate business needs into governed models while #J-18808-Ljbffr ...

more important than ever! As Director of Data Products, you will own the platform, the products, the tools, the processes and the self-serve layer, so that the answer arrives before the request does. You will be a force-multiplier for the quality, velocity and impact of Multiverse … coordinate a complex set of competing needs. What you'll own Data leverage across Multiverse The platform, products and self-serve layer that ~800 people use to find, understand and act on our data — reducing the dependency on Data & Insight to answer questions others could answer themselves. Direction ...

Comply in York, UK, is seeking a Senior AI Data Engineer to turn semantic data models into knowledge graphs and AI-ready pipelines. You’ll own semantic layer components and collaborate with data engineers, architects, and an ontologist to ensure scalable, reliable AI-enabled data products. This ...

process high‐volume sportsbook events (bets, pricing, settlements). Curated data assets powering trading analytics, risk monitoring, and customer personalisation models. Integration with semantic layers, BI tools, and machine learning platforms. Data governance and metadata tooling to improve transparency, trust, and reuse across the organisation. Your Experience 5+ years … Nice to Have Experience in sports betting, trading, or financial data domains. Familiarity with event‐driven architectures and real‐time data products. Experience with semantic layers (e.g. Cube.js) or metrics‐layer design. Exposure to data governance and metadata tools (e.g. OpenMetadata, Hive Metastore). Experience supporting machine learning ...

structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it. zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives … agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve. zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa ...

operational decision-making. Experience with enterprise data platforms, Customer Data Platforms (CDPs), Master Data Management (MDM), data products, Business Intelligence (BI), analytics platforms, or semantic layer solutions. Demonstrated ability to influence and build trusted relationships with senior stakeholders across product, engineering, architecture, governance, and commercial functions. Strong technical ...

your products. Embedded Analytics – analytics, dashboards, reporting, and insight experiences embedded directly into enterprise and SaaS applications. Agentic Intelligence – including Simba Intelligence, a governed semantic layer that gives AI tools live access to enterprise data and returns consistent, auditable answers, not guesses. What You’ll Do Develop ...

will provide design authority across conceptual, logical, and physical data models, collaborating with engineering and domain teams to deliver scalable, compliant data products and semantic layers that support enterprise AI initiatives. #J-18808-Ljbffr ...

marketplace, seeks a Senior Analytics Engineer to own analytics engineering across business domains. You will translate metric definitions into data models, dbt, dashboards, and semantic layers that empower reporting and self-serve analytics. The role requires 5+ years in relevant analytics, expert SQL, and hands-on Snowflake/dbt. ...

seeking a Senior BI Developer/Analyst to own data domains end-to-end, from raw data to stakeholder-ready insights. You will design semantic layers and deliver self-serve reporting across delivery, quality, investment, and AI adoption metrics. You will collaborate with engineering leadership, shape metrics, and mentor ...

Coaching analysts and BI developers on SQL, DAX, data modelling, visual design and engineering hygiene. Working closely with Data Engineering on changes to the semantic and curated layer and data marts. Delivering complex analytics workstreams end-to-end, and working within an Agile framework to break down requirements … broker or specialty (re)insurer. Advanced SQL, including query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M,performance tuning, RLS and deployment via pipelines. Astrong understanding ...

solutions that drive business outcomes. Responsibilities Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement Ensure data quality, consistency, deduplication, and optimisation for analytics … resolution, consent management, and audience readiness Develop event streams and triggers to support customer journey orchestration and real-time decisioning Provide structured datasets and semantic layers for dashboards and advanced analytics Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance Partner with analytics, MarTech ...

would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that … would struggle to find anywhere else in this industry. You will sit between data engineering and the business. That means turning commercial questions into semantic models, curated datasets and reusable data assets that leaders across EMEA and APAC rely on, working with our engineers on the upstream design that ...

visualisation tools (e.g. Power BI, advanced Excel; Tableau optional). Extensive practical experience designing dimensional data models, applying Kimball methodologies, and creating reusable semantic layers. Strong SQL expertise, including writing and reviewing complex queries for data extraction, validation, and transformation. Proven experience ensuring data quality, trust, and governance, including … Anticipates downstream reporting, performance, security, and reuse implications of design decisions. Leads and contributes to the definition and maintenance of standardised KPI definitions and semantic models. Data Visualisation & Storytelling Designs advanced, narrative-driven dashboards aligned to personas and decision journeys. Sets and evolves visualisation and UX standards, ensuring consistent ...

translation of business requirements into rigorous data structures in collaboration with engineering and domain teams Guide teams on the design and effective use of semantic data models, including their application to agentic AI solutions Semantic & Knowledge Modelling: Integrate semantic layers with business glossaries, data catalogues, and lineage … tooling Design and maintain semantic models to support agentic‐AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation of data domains ...