Data Architect: Cloud Data Platform & Strategy Lead

La Fosse

Greater London

Hybride

GBP 90 000 - 130 000

Plein temps

Il y a 39 heures
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Résumé du poste

La Fosse in London is seeking a Data Architect to lead the design and evolution of a modern, cloud-based data platform for a large international organization undergoing significant transformation.

This high-impact role defines the data architecture vision, sets standards, and shapes how data is used across the business, from BI reporting to self-serve analytics. You will collaborate with BI and engineering teams to deliver scalable, future-ready data solutions.

Qualifications

  • Proven experience as a Data Architect / Enterprise Data Architect.
  • Broad Architecture knowledge.
  • Strong expertise in data modelling and SQL.

Responsabilités

  • Define and own the enterprise data architecture strategy and roadmap.
  • Design scalable data models, pipelines, and storage solutions.
  • Establish architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture).
  • Lead the design of cloud data platforms (AWS) – including services like Redshift, S3, Glue, Athena.
  • Evaluate and introduce new technologies (e.g. Iceberg, Delta Lake, observability tools).
  • Drive data governance, standards, and best practice.
  • Act as a trusted advisor to both technical and business stakeholders.

Connaissances

Data architecture
Data modelling
SQL
AWS data stack
Databricks
Cloud platforms
Stakeholder engagement
Governance
Azure familiarity
Enterprise data architecture

Outils

AWS data stack
Databricks
Redshift
S3
Glue
Athena

Description du poste

La Fosse in London is seeking a Data Architect to lead the design and evolution of a modern, cloud-based data platform for a large international organization undergoing significant transformation.

This high-impact role defines the data architecture vision, sets standards, and shapes how data is used across the business, from BI reporting to self-serve analytics. You will collaborate with BI and engineering teams to deliver scalable, future-ready data solutions.

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