Location
Westminster Bridge Rd, London

Hours
Full Time

Salary
£77,000 per annum

About the Role
Are you passionate about designing robust, trusted data foundations that enable better decision-making and innovation? As a Data Architect at Peabody, you will lead the definition and evolution of our enterprise data architecture, ensuring it supports high-quality data products, integration, and ethical data use across the organisation.

This is a strategic, hands-on role where your architectural expertise will influence how data is structured, governed, and reused across platforms. You will work closely with Data Engineers, Product Teams, Data Governance, and Solutions Architects to ensure consistency across application, integration, and data layers, while enabling scalable analytics and advanced use cases.

Key Responsibilities:
- Define and maintain enterprise data architecture across analytical and operational use cases
- Design and govern conceptual, logical, and physical data models aligned to business needs
- Set and promote data modelling standards (e.g. Dimensional, 3NF, Data Vault) across domains
- Guide integration of internal and third-party data into the Azure data platform using the Medallion architecture
- Provide architectural assurance for data products, analytics, and AI/ML initiatives
- Co-own metadata strategy, including lineage, cataloguing, and business glossary alignment
- Support data ownership and governance models to improve quality, compliance, and trust
- Collaborate with Solutions Architecture and Platform Engineering on roadmap and reuse decisions
- Evaluate emerging tools and architectural patterns to keep the platform modern and cost-effective
- Ensure architecture enables ethical, secure, and high-quality use of data

Experience
- Strong experience as a Data Architect or Senior Data Engineer with architectural responsibility
- Deep expertise in enterprise data architecture, modelling, and metadata strategies
- Experience with modern cloud data platforms, ideally Microsoft Azure
- Hands-on knowledge of Databricks, Synapse, Data Factory, Azure SQL, and Purview
- Strong understanding of data governance, quality, privacy, and security principles
- Experience across both analytical and operational data use cases
- Excellent communication skills, able to explain complex data concepts clearly
- Good understanding of DevOps, CI/CD, and engineering quality practices
- Knowledge of data mesh and domain-based architecture approaches
- Familiarity with TOGAF or similar architectural frameworks

Preferred (but not essential)
- Experience supporting AI/ML pipelines or ethical data innovation
- Knowledge of geospatial data and geospatially enabled solutions
- Experience working in federated or hub-and-spoke data platform models
- Relevant certifications such as Azure Data Engineer Associate or Azure Solutions Architect

About you
- Strategic yet pragmatic in how you design and influence architecture
- Collaborative and comfortable working across technical and non-technical teams
- Detail-oriented with a strong focus on quality, reuse, and sustainability
- Curious about emerging patterns, tools, and best practice
- Passionate about trusted, ethical, and well-governed data