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Data Architect

Norton Blake
London
2 days ago
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Overview


We’re seeking a highly experiencedData Architectto lead the design and delivery of enterprise-scale data architecture initiatives. You will define data strategy, shape the roadmap, and enable the delivery and consumption of scalable data products, all while advising senior stakeholders and guiding the transition toGoogle Cloud Platform (GCP)services.

This is a key role in driving a modern data ecosystem for a large organisation undergoing digital and cloud transformation. Experience in migrating fromlegacy data warehousesto cloud-native architectures will be highly advantageous.


Key Responsibilities

  • Define and own theenterprise data strategy and architecture roadmap, aligning it with business priorities and digital transformation goals.
  • Architect and oversee theimplementation of data platforms and productsusing GCP services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage).
  • Guide themigration of legacy data warehousesto GCP, ensuring minimal disruption and future scalability.
  • Work closely withsenior stakeholdersacross business and technology functions to translate needs into actionable data architecture solutions.
  • Ensure robust data governance, security, and compliance standards across all data initiatives.
  • Lead design discussions, architecture reviews, and provide best practice guidance to engineering and analytics teams.
  • Drive adoption ofdata-as-a-productprinciples to enable self-service analytics and business intelligence across the organisation.


Required Skills & Experience

  • Proven experience indefining and delivering enterprise-scale data strategy and architecturein complex organisations.
  • Deep understanding and hands-on experience withGoogle Cloud Platform (GCP) data services, including BigQuery, Cloud Composer, Dataflow, Pub/Sub, and Cloud Storage.
  • Strong experiencemigrating from legacy data warehouses(e.g., Teradata, Oracle, SQL Server) to cloud-native solutions.
  • Ability to communicate complex technical concepts tosenior business stakeholders, influencing decision-making and strategic direction.
  • Deep knowledge of data modelling, data integration, metadata management, and governance frameworks.
  • Experience working inagile, cross-functional teamsin large enterprise environments.
  • Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/CD, Terraform) is a plus.


Preferred Qualifications

  • GCP certification (e.g.,Professional Data EngineerorCloud Architect)
  • Background in consulting, enterprise IT transformation, or platform modernisation projects
  • Experience with data product frameworks and federated data governance (e.g., Data Mesh)

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National AI Awards 2025

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