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Senior Data Architect (Hybrid)

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Leads the design and governance of enterprise-grade data architectures for complex client environments. Focuses on cloud-based platforms, data models, and governance frameworks while advising stakeholders. Requires deep expertise in data modelling, cloud-native technologies, and DevOps principles.

Key Highlights
Hybrid role in Glasgow or Reading, Berkshire
Focus on cloud-native data platforms (MS Fabric, Databricks, AWS)
Leadership in data architecture, governance, and cross-functional teams
Key Responsibilities
Define and evolve enterprise-grade data architectures for scalability and sustainability.
Lead cloud-based data platform design, semantic layers, and data models.
Establish governance frameworks and advise senior stakeholders on data strategy.
Technical Skills Required
Cloud-Native Data Platforms (AWS, Databricks, MS Fabric) Data Modelling (Kimball, 3NF, Data Vault) Data Governance & Metadata Management
Benefits & Perks
Hybrid working flexibility
Industry-leading coaching and mentoring
Competitive salary and benefits package
Nice to Have
Consultancy experience or industry domain expertise (financial services, telecoms, etc.).
Architecture certifications.
Experience with semantic layers and BI-friendly data structures.

Job Description

We have an exciting opportunity for a Data Architect to join our growing Data and AI practice.

Role Overview

As part of this role, you will work alongside our engineers and principal consultants to define, design and govern high quality data architectures across complex client environments. You’ll bring deep architectural expertise, strong communication skills, and the ability to translate business challenges into scalable, future proof data solutions.

Responsibilities

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