26 to 50 of 56 Remote/Hybrid Semantic Layer Jobs

bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage, observability and governance, ensuring checks, SLAs and alerting are expressed as code and monitored in production rather ...

numbers people can act on. What the role involves dbt on BigQuery, day to day. Model design, data quality, the source-of-truth layer, and every change that lands in it. Joining the business together across systems. Our CRM, ledgers, operational tools, and compliance systems each hold part … keys and different definitions. Resolving them into one coherent model is central to the role. Leading our Lightdash to Omni migration , then owning the semantic layer and everything built on it. Regulatory and compliance reporting. Recurring submissions and the models behind them, against externally fixed deadlines. Partnering with ...

operators, executives, and agents depend on the warehouse. The same question has to return one answer. As Senior Analytics Engineer, you own the transformation layer in dbt and Snowflake. You make it dependable: well modelled, tested, documented, and clear enough that a person or an agent can trust … defend a modelling methodology. Kimball sits inside that defence: grain, facts, dimensions, and where a wide table is the wrong choice. A semantic layer you have used in production. You can explain metrics, dimensions, grain, and joins, and how an agent reads them. Streaming and warehouse scale. ...

Make sure AI runs in a safe, governed environment, with our data in the best possible shape (access, privacy and responsible use) Own the semantic layer as the single place we define our metrics, used by our BI tool, Claude and every agent we build Build in evals ...

integration, security and data domains. Data warehouse or lakehouse capabilities : Understanding of how data warehouse or lakehouse capabilities, integration patterns, data models, governance and semantic layers enable trusted reporting, analytics, AI and business decision-making. Business process enablement : Able to connect architecture choices to Development, Manufacturing ...

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 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 ...

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 ...

company. You’ll lead a multidisciplinary team of Data Engineers and Analytics Engineers responsible for developing and maintaining core data models, transformation pipelines, semantic layers, and the foundations that enable trustworthy self‐service and agentic analytics. You'll be an experienced engineering leader who is passionate about developing people … balancing business priorities with long‐term scalability, maintainability, and technical excellence. Lead the development of trusted, reusable analytical data models, scalable data pipelines, and semantic layers to power analytics, machine learning, and AI‐driven decision‐making. Establish strong engineering practices across data quality, automated testing, CI/CD, documentation ...

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 ...

executives on data and analytics strategy.Designing target-state SAP Business Data Cloud, SAP Datasphere and SAP Analytics Cloud architectures.Establishing enterprise reporting, data governance and semantic modelling frameworks.Leading analytics assessments, maturity reviews and transformation roadmaps.Defining data products, business semantic layers and enterprise information models.Providing architectural oversight across multiple delivery ...

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 ...

that sets new standards for efficiency, innovation and business value. Working closely with central data teams and federated BI communities, you'll ensure reporting, semantic data models, analytics and insight solutions are delivered consistently, effectively and in line with organisational objectives, maximising business value from data and analytics investments. … looking for to succeed in the role: Technical BI & Data Expertise: Expert in Power BI, SQL, ThoughtSpot and Databricks, with a strong understanding of semantic modelling, dimensional modelling, and reporting data structures. Development & Data Engineering Practices: Experience of Azure DevOps, source control and CI/CD approaches for Business ...

role with occasional travel to head office and parks. You will design Kimball-style dimensional models, craft robust transformations in dbt, and drive the semantic layer that delivers trusted guest insights for dashboards and forecasts. We value deep modelling expertise, strong SQL/dbt skills, and a collaborative ...

build robust customer facing reporting Collaborate closely with engineers to assess and mitigate the impact of upstream product changes Apply domain knowledge to develop semantic layers for business intelligence Mentor junior engineers and, teaching them the SDLC process and engineering best practices Success in this role will depend most … able to operate effectively and autonomously across multiple teams in situations of ambiguity, with only high-level direction Experience with dbt for data transformation layer Experience with BI tooling such as Power BI or Looker Experience with AWS, Azure or GCP is a plus Immersive’s growth has been ...

from source integration and data pipelines through to analytical models, reporting and adoption. Connect delivery to decisions across finance, operations and commercial teams. Shape semantic layers that establish consistent business definitions, metrics and relationships across data. Enable reporting, analytics, AI applications and agents to work from a shared understanding … pipeline reliability. Sufficient technical depth to challenge designs, review engineering decisions and guide delivery teams. Experience delivering analytics solutions that business teams use, including semantic models, consistent KPI definitions and reporting that supports financial and operational decisions. A practical understanding of the data foundations required for AI and agents ...

operational data model and data management strategy. You will work on logical and physical models, align with industry standards, and create a semantic layer to support AI tools while ensuring data context and safety. You will join the Office of the CTO's Enterprise Architecture team, collaborate with ...

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 ...

teams, you’ll identify high-value opportunities, understand user needs and develop solutions that are usable, explainable and measurable. You’ll enable governed metrics, semantic layers and consistent business definitions to ensure conversational experiences are built on trusted, well-understood data. You’ll lead proof-of-concepts for emerging … services through APIs, building automated data, analytics, and AI workflows, and managing technical dependencies within complex enterprise environments Strong understanding of data modelling, semantic layers, business intelligence, analytics, data governance, authentication, and enterprise data flows Experience developing, prototyping, evaluating, and implementing AI, machine learning, or conversational solutions, including testing ...

performance The role will play a critical part in moving Cluttons towards afully integrated data environment, combining multiple data sources into a consistent reporting layer and delivering actionable insight to leadership. This is ahands-on leadership role, combining strategic design, technicaldeliveryand stakeholder engagement. You will be positioned … structure,integrationand lifecycle management. Lead the implementation and use of Microsoft Fabric as the core data platform. Define and manage data ingestion, transformation,modellingand semantic layers. Ensure compliance with information security and regulatory requirements. Reporting & Insight Deliver astandardised reporting suitecovering pipeline,timesheetsand financial performance across all business dimensions (sector ...

Work AI-native from day one: AI coding agents draft models, tests and documentation, while you own definitions, review and quality Own the metrics layer: one tested definition each for ARR, customer retention, realised customer value, touchless rate and cost to serve, with a first version in use within … together with their owners Enable Finance, RevOps, Commercial, Product, Engineering and Services to self-serve, including plain-language analytics on top of the metrics layer, and help choose our analytics tooling Agree definitions with business owners and document them so people and AI tools read them the same ...

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 ...

financial services clients across banking, insurance and capital markets. You will operate in a modern Data & AI consulting environment spanning cloud platforms, data products, semantic architectures and agentic AI. London, Manchester or Glasgow can be your base, with hybrid working and flexibility across client assignments The Role … governance, risks, sequencing and benefits realisation. Translate business and regulatory challenges into AI products, agentic workflows and decision platforms. Direct AI-ready data foundations, semantic layers and platforms while assuring technical delivery. Build and lead inclusive consulting teams while contributing to propositions, bids and thought leadership. Benefits and Perks ...

remote-first basis across the UK. You will lead the design and delivery of complex client engagements spanning agentic systems, retrieval architectures and semantic layers, working directly inside enterprise client teams. Client demand for AI-led transformation is accelerating and our client is expanding its permanent engineering team across … multi-agent architectures covering planning, delegation, tool use, memory, safety constraints and monitoring Build retrieval and vector-based systems: embeddings, RAG, structured reasoning and semantic workflows Connect agents to enterprise platforms through APIs, tools, MCP Servers and connectors Apply ontologies or knowledge graphs where they improve reasoning and data ...