26 to 50 of 52 Remote Semantic Layer Jobs

modelling, testing, and documentation standards the data function depends on. You will innovate on how people work with data, building the agentic tooling and semantic modelling that let teams across Planday work from trusted data with confidence. What You’ll Do Set the architectural direction of our data platform … analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure. Design the dbt models, semantic layer, and quality standards the data function depends on, with the validation and lineage to make them trustworthy downstream. Own orchestration and observability ...

role focuses on analytics engineering rather than data engineering or data science, with dbt on BigQuery, cross-system integration, and ownership of the semantic layer. You will collaborate with Finance, Product, Operations, Compliance, Sales and the executive team to deliver timely regulatory reports and automated data workflows. #J ...

decision‐making across the organisation. Working closely with business stakeholders, analysts and technical teams, you will develop and maintain data pipelines, data models and semantic layers that turn complex data into reliable, accessible information. You will help establish modern engineering practices, improve data quality and governance, and support ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...

Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production … federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage ...

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 ...

Engineer to scale our data platform and empower data-driven decisions across the business. You will co-own architecture for ingestion, modelling, and the semantic layer, while guiding a growing data engineering team. You'll work with Databricks, governance in Unity Catalog, and build self-service patterns ...

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 ...

culture of innovation and experimentation, negotiating decision rights, setting clear evidence standards, and encouraging testing over instinctual decision‐making. Manage AI Foundations: Own the semantic and context layers for Last Mile, ensuring business definitions and metric logic remain accurate so AI‐generated outputs align seamlessly with real‐world operations. … History of working alongside data science or machine learning functions, understanding how to bridges analytics and operational modeling. Modern Data Tooling Experience: Exposure to semantic layer tooling, data cataloguing, or AI evaluation frameworks. Benefits We believe in supporting our people with meaningful, flexible benefits that prioritise well‐being ...

data platform end-to-end, ensuring accuracy before it reaches the business. You will own the warehouse, the dbt project and semantic layer, and Lightdash dashboards, shaping a single source of truth for KPIs. You’ll report to the Data Lead, collaborate with the CFO, and work ...

Product Engineering teams, and drive reliable ingestion, modelling, and orchestration to support data-driven features for customers globally. You will design dbt models and semantic layers, own Dagster orchestration, onboard new data sources at scale, and advance self-serve analytics with agentic workflows and #J-18808-Ljbffr ...

consistent, joinable and open. Platform Engineering builds and operates the platform. Software teams identify and publish facts they own. This role owns the reporting layer: the single, trusted set of business measures and definitions the rest of Pod reports from. Teams across the organisation, from operations to sales … capability as a shared, well-governed core, working closely with software engineering and architecture. Data Standards & Reporting You’ll own Pod’s governed reporting layer: the single, trusted set of business measures and their definitions that the rest of Pod reports from. You’ll set standards for data analyst ...

that improve products for millions of families. You will work with BigQuery, Dataform, Tableau, Amplitude, and Monte Carlo to build robust data models and semantic layers. You’ll partner with Product and Engineering to design experiments, analyse results, and translate findings into actionable product improvements, while mentoring peers ...

logic. You will also play a key role in expanding into Ecom Analytics Engineering as we build out reporting marts and establish a new semantic layer.Beyond technical delivery, you will act as a pivotal liaison between Analytics Engineering, Product, and commercial stakeholders to define, govern, and migrate core Ecom … translating complex or ambiguous business requirements into well-documented technical metric definitions.Solid understanding of data modelling concepts and experience collaborating with Analytics Engineering on semantic layers and reporting marts.Excellent stakeholder management skills, with the ability to explain complex technical concepts to non-technical audiences.A self-starter mindset focused ...

partner with Data Engineers, Analytics Engineers, Data Scientists and business teams to turn recurring needs into durable, self-service capabilities. You will own the semantic layer, platform configuration, access governance and production readiness, contributing to a more integrated BI platform across the DoorDash group. #J-18808-Ljbffr ...

transformation on large-scale Government projects: Data Engineer with strong hands-on expertise in Palantir Foundry to design + build scalable data pipelines, semantic models + data products. Working closely with data scientists, data analysts, product teams + stakeholders to deliver robust, production grade data foundations that support analytics … Workshop, Quiver). Implementing batch, incremental + streaming ETL/ELT workflows with reusable, production ready components. Data modelling, schema design, build data products, semantic layers, metadata management + governance. Designing + maintaining Foundry ontologies, including object types, link types, property types, and semantic relationships. Supporting Foundry Workshop ...

service model that serves Risk and Compliance. Delivery. Deliver priority data products and automation. Operating disciplines. Own the data‐product operating disciplines, product management, semantic and taxonomy ownership, and AI access and insight assurance. Outcomes. Measure and report success by decision‐influence and accountability outcomes, not build volume. … Work With LLMs and agentic frameworks RAG architectures AI agents and orchestration (e.g. LangChain/LangGraph) Python and modern data engineering Snowflake and governed semantic layers AWS/GCP cloud services Vector databases Data pipelines and MLOps tooling Business intelligence and visualisation tools #LI-AB3 What ...

Staff Analytics Platform Engineer, you’ll provide technical leadership across the entire analytics platform, from ingestion and transformation tooling to Snowflake architecture, semantic modelling, and secure analytics environments. You’ll define the patterns, standards, and infrastructure that enable analysts, data scientists, and product teams to build reliable, scalable analytics … with you. What you’ll be doing Co‐owning the analytics platform architecture, designing end‐to‐end solutions across Snowflake, ingestion pipelines, dbt infrastructure, semantic layers, and secure analytics environments. Defining and driving the long‐term technical vision for the analytics platform, ensuring it is scalable, cost‐efficient, secure ...

role will play a critical part in moving Cluttons towards a fully integrated data environment, combining multiple data sources into a consistent reporting layer and delivering actionable insight to leadership. This is a hands-on leadership role, combining strategic design, technical delivery and stakeholder engagement. You will be positioned … lifecycle management. Lead the implementation and use of Microsoft Fabric as the core data platform. Define and manage data ingestion, transformation, modelling and semantic layers. Ensure compliance with information security and regulatory requirements. Reporting & Insight Deliver a standardised reporting suite covering pipeline, timesheets and financial performance across all business ...

commercial impact. The Role * Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling. * Help define and implement strategies for semantic layers, self-service analytics, and metric governance. * Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent. * Partner with Data, Product, Engineering … engineering, data strategy, or a related field. * Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms. * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities. * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies. * Strong understanding of analytics architecture ...

designing rigorous experiments, evaluating emerging approaches, and producing evidence-based recommendations that support enterprise adoption. Key responsibilities include: Designing and conducting research into retrieval, semantic and agentic approaches for analytical reasoning and decision support. Building benchmarks, evaluation frameworks and experimental methodologies to assess AI solutions objectively. Prototyping and evaluating … ability to interpret and apply research findings. Python development and AI prototyping skills. And any experience of this would be really useful Knowledge of semantic layers and metrics modelling. Experience of ontologies, knowledge representation, taxonomy development and metadata design. Exposure to knowledge graphs, graph-based reasoning concepts, NL2SQL, Text ...

expertise and commercial acumen to shape enterprise-wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice.YOUR ROLEThis role … technical direction and hold the delivery to account, without designing it yourself.• Directing the design of AI-ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions• Assuring agentic architectures - interrogating ...

expertise and commercial acumen to shape enterprise-wide transformation. You will lead client engagements from strategy through to execution that combine modern data platforms, semantic architectures and agentic AI solutions to deliver measurable business value, whilst contributing to the growth of our EDA Financial Services practice.YOUR ROLEThis role … technical direction and hold the delivery to account, without designing it yourself.• Directing the design of AI-ready data foundations, platforms and semantic layers that provide trusted business context and reliable access to enterprise information, and holding your architects to account on those decisions• Assuring agentic architectures - interrogating ...

ensure AI use cases are built on the right data foundations. Understand data readiness for AI, including structured data, unstructured data, document ingestion, semantic layers, vector search, permissions and governance. Business Development Support Managing Directors in business development and origination activity across the UK and Europe. Contribute to qualified … Snowflake Cortex, Databricks, Anthropic Claude, OpenAI and related enterprise tooling. Understanding of the data foundations required for AI, including structured data, unstructured data, semantic layers, vector search, permissions and governance. Knowledge of safe and scalable AI delivery, including identity, access, environments, observability, evaluation, auditability and responsible AI controls. Experience ...