Data Architect
Location:
London, Greater London, South East, England
Salary:
£80000 - £100000 per annum
Job Type:
Permanent
Date Posted:
2 minutes ago
Expiry Date:
14/08/2025
Job Ref:
BH-121955
Start Date:
30/06/2025
Contact:
Niall Wharton
Contact Email:
niall.wharton@xcede.com
Specialism:
EnglandData Engineering
Senior Data Architect – Azure / Databricks / Python
Location: London (2 days per week in-office)
Salary: ~£100,000
Type: Permanent
Join a global leader in legal market intelligence as they embark on a major data transformation journey.
Our client is internationally recognised for their deep-dive publications, trusted globally in the same way the Michelin Guide is for restaurants. With significant inbound business and a subscriber-based model, they are now pivoting into the world of market intelligence—developing tools that help legal professionals and firms understand performance metrics, win/loss ratios, and sector trends through data.
With a new CDO leading the function and a committed investment in data, they are hiring a Senior Data Architect to help shape and scale their Azure-native data platform. You’ll play a central role in the architecture of a platform handling vast quantities of textual and quantitative legal data—supporting both internal analytics and customer-facing products.
Key Responsibilities
Location: London (2 days per week in-office)
Salary: ~£100,000
Type: Permanent
Join a global leader in legal market intelligence as they embark on a major data transformation journey.
Our client is internationally recognised for their deep-dive publications, trusted globally in the same way the Michelin Guide is for restaurants. With significant inbound business and a subscriber-based model, they are now pivoting into the world of market intelligence—developing tools that help legal professionals and firms understand performance metrics, win/loss ratios, and sector trends through data.
With a new CDO leading the function and a committed investment in data, they are hiring a Senior Data Architect to help shape and scale their Azure-native data platform. You’ll play a central role in the architecture of a platform handling vast quantities of textual and quantitative legal data—supporting both internal analytics and customer-facing products.
Key Responsibilities
- Lead the architecture and design of robust, scalable data solutions in a modern Azure environment
- Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps
- Support and influence the entire data lifecycle—from ingestion and transformation to analytics and product delivery
- Collaborate closely with the CDO and engineering team to define the platform’s technical direction
- Deliver architectural outputs and solutions aligned with governance, compliance, and performance best practices
- Work with both structured and unstructured datasets, leveraging Databricks and Azure Data Factory
- Provide thought leadership across data strategy, tooling, and modelling
- Azure Cloud Services (Data Factory, Databricks, Azure SQL, CosmosDB, Synapse)
- SQL Server (on-prem and cloud-based)
- Python and .NET code base
- MDM, Data Lineage, Data Vault, and Kimball
- Agile delivery, collaborative team culture
- Experience as a Senior Data Architect or Lead Data Engineer in a modern cloud environment
- Hands-on knowledge of Azure data services and strong SQL skills
- Extensive experience in designing metadata-driven pipelines and data warehouse architectures
- Comfortable defining “as-is” and “to-be” states across data ecosystems
- Strong communication skills with the ability to liaise across technical and business teams
- Passionate about technology, detail-driven, and proactive in delivery
- Keen to be a doer—not just a strategist—and thrive in getting architecture built and working
- Competitive salary (~£100k) with flexibility
- High-impact role with exposure to C-level decision making
- Hybrid working model – 2 days per week in-office
- Clear progression path to Head of Data Architecture
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Niall Wharton
Specialisms: Data, Data Engineering, AI & Machine Learning, AI Research, NLP, Machine Learning, Computer Vision, Generative AI, AI Engineering