Data Analytics Architect
Role details
Job location
Tech stack
Job description
Are you the kind of Analytics Architect who doesn't just deliver solutions - but defines how entire enterprise data platforms should be built?
We're looking for experienced Architects to join a high-growth consultancy delivering large-scale cloud data and analytics transformations for major UK organisations.
This isn't a delivery-only role. You'll be responsible for setting the architectural vision across complex, multi-system environments, helping clients modernise legacy estates and move toward scalable, cloud-native data platforms that actually stand up in production.
You'll act as a design authority, shaping strategy at stakeholder level, defining target architectures, and ensuring every solution is engineered for performance, governance, and long-term scalability across the enterprise., * Act as a trusted technical advisor on analytics, data engineering, and cloud data platform architecture
- Lead the end-to-end design of enterprise analytics and BI solutions
- Define and govern solution architectures aligned to business and technical requirements
- Design scalable cloud data platforms, lakehouse architectures, and analytics ecosystems
- Lead architecture for data modelling, warehousing, and ETL/ELT pipelines
- Design and oversee BI and semantic layer architecture (Power BI and similar tools)
- Define standards for data governance, security, lineage, and data quality
- Engage senior stakeholders to shape data strategy, architecture roadmaps, and transformation plans
- Provide architecture governance and solution assurance across delivery teams
- Support pre-sales, solution shaping, and client presentations where required
Requirements
- Proven experience as a Data Architect, Analytics Architect, or Senior Cloud Data Consultant
- Strong background in enterprise data platform and analytics architecture
- Extensive experience with Azure data ecosystem (Fabric, Databricks, Synapse, Azure Data Factory)
- Strong understanding of data modelling (Kimball, dimensional modelling, lakehouse patterns)
- Experience designing enterprise ETL/ELT and data integration architectures
- Strong BI architecture experience (Power BI, Tableau, or equivalent)
- Solid understanding of data governance, security, metadata, and data quality frameworks
- Ability to translate complex business requirements into scalable architectures
- Strong consulting and stakeholder engagement experience
Desirable
- Exposure to AI/ML and advanced analytics platform architecture
- Experience with Microsoft Fabric adoption or modernisation programmes
- Knowledge of Databricks Lakehouse architecture patterns
- Experience in regulated environments (government, defence, financial services)
- Familiarity with DevOps, CI/CD, and DataOps practices in cloud environments
- Experience contributing to architecture governance boards and solution assurance