12 of 12 Semantic Layer Jobs in the South West

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 ...

through to more operational uses such as agents that help diagnose and fix pipeline issues. Help lay the foundations for our emerging MCP and semantic layer, so our data becomes something both people and AI systems can query and reason over. What You'll Bring Strong software engineering … code generation, such as research, building domain knowledge, or prototyping. Nice to have: exposure to the building blocks of AI-ready data, such as semantic layers, ontologies, or text-to-SQL, plus any experience applying AI operationally within data platforms or pipelines. This won't be your main focus ...

following technologies: Data Processing: Apache Spark/PySpark Workflow Orchestration: Apache Airflow Containerisation: Kubernetes Cloud Platform: Microsoft Azure Data APIs & Semantic Layer: CubeJS Programming Languages: Python, SQL Essential Skills & Experience Degree in a STEM discipline, ideally Computer Science, Software Engineering, or a related field. Minimum of 5 years … Experience designing and building scalable, production-grade data pipelines. Desirable Experience Experience working within cloud-native Azure environments. Knowledge of modern analytics platforms and semantic data layers. Previous mentoring or technical leadership experience. Apply If you're a passionate Senior Data Engineer looking to work on complex data challenges ...

enhanced data-product designs. Identify opportunities to centralize business logic (shared, reusable calculation rules) across data products. Support development of report-focused views and semantic layers (business-friendly data models) to improve consumption and reduce duplication. Support launch and adoption of AI-enabled analytics tooling (e.g., Databricks Genie … Sigma. Exposure to Agile delivery and Jira-based routines. Experience supporting data-product users through triage, guidance, or training. Exposure to data contracts, semantic-layer design, or downstream reporting transformation. Interest in AI-enabled data consumption, such as prompt-based analytics or curated data rooms. Knowledge of cloud ...

transformation programmes. What you'll be doing Supporting solution architecture and technical design Building scalable, production-grade data platform Developing data models, pipelines and semantic layers Working directly with clients to understand requirements and shape delivery roadmaps What we're looking for 24 years' experience in data engineering ...

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 ...

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 ...

retail, financial services, healthcare, or telecom. Experience taking clients from AI experimentation to scaled, governed adoption. Familiarity with context engineering concepts: RAG, semantic layers, knowledge bases, MCP. An existing network and reputation in the US data & AI market. Why you should join us We are united by our values ...

build of Knowledge Graph solutions that transform a client's data architecture within program scope. Directs the design, development, and implementation of AI and semantic solutions, ensuring all the pieces work together seamlessly. Works with project leaders, delivery leads, and client stakeholders to create stand-out, graph-powered Data … offerings. Develops strong client relationships and earns the trust of key advisors. Makes the business case for the semantic layer solution recommended to the client. Contributes meaningfully to our client sales and pre-sales efforts. Provides thought leadership on technology trends, new opportunities, innovations, and foreseeable limitations, risks ...

best-in-class. As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. … control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product. Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog/lineage tooling. Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models. Experience ...

best-in-class. As the Data Governance & Data Product Lead in the Office of Regulation and Document Governance (ORDG), you will own the foundation layer of ORDG’s Data, Analytics & AI capability — turning policy content into governed, machine-readable data products that AI services, controls and reporting all consume. … control-related data domain — including obligations, controls, standards or procedure content — and its transformation into a governed data product. Working knowledge of Data Mesh, semantic layers, canonical modelling approaches and modern data-catalog/lineage tooling. Familiarity with JPMorganChase data standards, CDAO frameworks and firmwide governance operating models. Experience ...