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Data ArchitectTria • London, England, United Kingdom
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Data Architect

Tria
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom
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À propos

Data Architect 3 days a week onsite in London 35hr working week with flexible working hours We're looking for an experienced Data Architect to join a well-established company who are going through an enterprise-wide modernisation programme. This is a brand-new role within the business and you'll be responsible for defining and evolving the data architecture that underpins enterprise-scale BI and self-service analytics across a large, complex organisation operating across the UK and Europe. This is a strategic and hands-on role where you will set the technical vision, standards, and frameworks for modern data platforms, ensuring they are scalable, secure, cost-effective, and aligned with business priorities. You will act as a technical authority for data architecture, working closely with BI Engineers, Developers, Product, and senior stakeholders to enable high-quality analytics and data products today and in the future. What you'll be doing Architecture & Strategy Assess existing data architectures, documenting current-state models, pipelines, tools, and standards Define and maintain the enterprise data architecture vision and roadmap aligned to BI strategy and business goals Design logical and physical data models optimised for reporting, analytics, and self-service BI Establish and govern architectural patterns (e.g. medallion architecture, dimensional modelling, data vault) Design cloud-based data platform architectures (AWS preferred), including data storage, processing, and consumption layersTechnology Leadership Evaluate and recommend modern data technologies and tooling Stay current with industry trends such as open table formats (Apache Iceberg, Delta Lake), data observability, and cloud-native services Lead proofs-of-concept and technical assessments for new technologies Ensure the data architecture remains modern, performant, and future-proofData Modelling & Governance Define standard business entities, metrics, and KPIs for consistent reporting Review and approve complex data models created by BI Engineers Design and embed data governance frameworks covering ownership, quality, security, and complianceCollaboration & Influence Partner with BI leadership to shape data and analytics strategy Provide architectural guidance and mentorship to BI Engineers and Developers Work closely with frontend BI Developers to ensure data structures support performant dashboards Translate business requirements into clear, practical architectural solutions Facilitate architecture workshops and discussions with technical and non-technical stakeholdersWhat we're looking for Essential experience Extensive experience in data architecture, designing and delivering enterprise-scale data solutions Strong expertise in data modelling with excellent SQL skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerationsPersonal attributes Strong business acumen and ability to link data architecture to real business outcomes Pragmatic mindset: balancing architectural best practice with delivery and cost constraints Curious, continuous learner with an interest in emerging technologies Confident communicator who can influence and build trust across technical and business teamsThis is a great opportunity where you'll get the opportunity to shape the data architecture for a large, multi-country organisation and work with modern cloud and analytics technologies at scale. You'll play a strategic role with real influence over how data enables the business and will collaborate with experienced BI and data professionals in a growing, evolving environment. If you're passionate about building robust, scalable data architectures and want to have a meaningful impact on how data is used across an organisation, please send your CV
  • London, England, United Kingdom

Compétences linguistiques

  • English
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