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Data Architect

HL0105

£100,000 – £120,000 + Bonus

London

Permanent

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Finatal are currently partnering with a PE-backed, high-growth B2B technology business that has scaled rapidly through a buy-and-build strategy following recent investment. The organisation is now entering the next phase of maturity, with a clear mandate to bring structure, governance and scalability to its data and systems landscape.

They’re now looking to hire a Data Architect to define and lead the enterprise data architecture, working across a complex environment of multiple systems, fragmented data models and evolving platform decisions.

Role:

  • You will define and deliver the enterprise data architecture strategy, bringing structure to a previously decentralised and fragmented data environment.
  • You will design conceptual, logical and physical data models, establishing canonical models and MDM frameworks across core business domains.
  • You will map and rationalise multiple systems (CRM, finance, operational platforms), reducing silos and improving data consistency and accessibility.
  • You will implement governance frameworks including data lineage, metadata management and impact analysis to support scalable growth.
  • You will play a key role in shaping the future data platform, advising on the adoption of technologies such as Snowflake or Microsoft Fabric.
  • You will act as a central point of alignment across engineering, BI, finance and operations, ensuring consistent architectural standards and decision-making.

Requirements:

  • Proven experience as a Data Architect or Enterprise Data Architect within a scaling or complex environment.
  • Strong expertise across data modelling (conceptual, logical, physical), canonical models, and Master Data Management.
  • Experience implementing governance frameworks including lineage, metadata, and data standards.
  • Strong stakeholder management, with the ability to align technical and non-technical teams in an environment with multiple opinions and legacy approaches.
  • Experience working across modern cloud data platforms (e.g. Snowflake, Azure, Fabric) and supporting platform selection or implementation.

This is a high-impact, standalone role with significant ownership, suited to someone who enjoys operating in fast-paced, evolving environments and shaping data architecture from the ground up.

Finatal
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