8 of 8 Snowflake Schema Jobs in London

consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real … data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in‐memory ...

Title: Snowflake Data Architect Salary: Paying up to £90,000 per annum Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake/Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture … with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience ...

marketing domains. You'll need a strong technical skillset, especially advanced SQL proficiency to handle complex data manipulation in a modern data warehouse (like Snowflake). Experience with data modeling (dbt) and visualisation tools to create insightful and easy-to-digest dashboards and reports. Comfortable with a programming language ...

Snowflake Data Architect Location: Wembley (Fully on-site) Salary: £100,000 + Permanent Benefits The Opportunity We are seeking an experienced Snowflake Data Architect to play a key role in shaping and evolving a modern enterprise data platform. This is an opportunity to define architecture standards, drive best … quality, trusted data products across the business. Key Responsibilities Define and own enterprise-wide data architecture standards, including Data Vault, semantic layer frameworks, star schema modelling patterns, and Snowflake design conventions. Design scalable integration patterns for legacy and modern data sources, ensuring strong governance, reconciliation, auditability, and data ...

data models. Collaborate with data architects and data engineers to design and enhance dimensional data models, including fact and dimension tables using star and snowflake schemas. Produce and maintain data warehouse documentation, including entity relationship diagrams (ERDs), data dictionaries, business glossaries, and metadata. Analyse source systems to understand data … data standards, and reporting requirements to ensure consistent use of enterprise data. Essential Strong understanding of data warehousing principles, including dimensional modelling, star and snowflake schemas, normalisation and denormalisation. Extensive experience in data modelling using industry‐standard modelling tools. Strong SQL skills for data analysis, profiling, reconciliation, and validation. ...

products Guide and control the creation of data domains that align with the banks underlying capabilities Data Engineering & Platforms Design data product schemas across Snowflake and Databricks, including Delta Lake structures and access patterns Define and enforce architectural guardrails for data product design, including performance, scalability, security, and cost … review transformation/pipelines for compliance Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI-Assisted Development Leverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products Utilize GitHub Copilot (or similar ...

London (St Botolph). You will design and execute data quality testing across the full data lifecycle, including ingestion, transformation, and reporting, validating Snowflake outputs and dbt models. You will extend automated test harnesses using dbt, SQL, Python, GitHub, and Azure DevOps, integrate tests into CI/ ...

understanding to ensure customer data is reliable, activation-ready, and easy to work with across our ecosystem. You ll work across Kafka event streams, Snowflake, Braze, internal tools, and supporting integrations to transform raw product and customer data into trusted CRM-ready datasets, scalable activation systems, and effective … long term. Here s how you ll be contributing to the CRM team: Build and maintain the technical foundations that power CRM across Snowflake, Braze, Hightouch and supporting platforms Support the transformation and modelling of customer data within Snowflake to create reliable, CRM-ready datasets Validate customer events ...