Data Architect (London Area)

Job Title: Data Architect

Contract: 6 months

Rate: £550 - £650 per day Outside IR35 (depending on experience)

Location: Remote, but preference for candidates who can do hybrid (2 days per week onsite in Central London).

About the Role

We are seeking an experienced Data Architect to play a key role in a large-scale global transformation project. The company is moving to a Microsoft-based suite, including Microsoft Dataverse, and requires a strong technical leader to design and implement its future-state data architecture.

This role involves integrating 6-7 key business systems - including marketing, sales, ERP, websites, and user management platforms - into a unified data model. The Data Architect will collaborate with stakeholders across the organisation to enhance data accuracy, consistency, and accessibility while ensuring scalability and compliance.

Key Responsibilities

• Develop and implement a high-level data architecture aligned with the organisation’s global transformation strategy.
• Integrate and model data from multiple systems (marketing, sales, ERP, website, and user management) into a single, optimised structure.
• Work closely with cross-functional teams (marketing, sales, finance, IT) to ensure data accuracy, consistency, and accessibility.
• Drive the transition to a Microsoft-based ecosystem, leveraging Microsoft Dataverse and other relevant technologies.
• Define and implement best practices for data modeling, warehousing, and future scalability.
• Ensure data governance, security, and compliance across all integrated systems.

Essential Skills & Experience

• Proven experience as a Data Architect or in a similar high-level data modeling role.
• Expertise in data integration and transformation, particularly with marketing, sales, ERP, and web data.
• Strong understanding of Microsoft Dataverse and cloud-based data architectures.
• Experience working with CRM and ERP systems in a large-scale business transformation.
• Ability to design and implement future-state data models for enhanced customer experience.
• Strong analytical skills with a strategic focus on data-driven decision-making.