Entry Level Software Developer jobs in United Kingdom

Role: Data Warehouse Architect

Contract: 6 week initial engagement

Location: Hybrid working - likely to be some travel to London required

Rate: 700pd- 750pd (outside IR35)

We are currently recruiting for a Data Warehouse Architect who can come in and provide a DWH assessment, you will be responsible for assessing the DWH landscape and provide direction, deliverables and outcomes. This is due to be a 6-week engagement with the chance of it becoming a longer term piece of work.

The role will require travel to London and will be hybrid working, please consider this when applying for the role.

Due to the time-frames required for the engagement, you must be available to start a new role as soon as required.

If you are interested in the role and would like to apply, please click on the link to be considered.

• Own logical and physical data warehouse architecture from ingestion to consumption
• Define target state architecture and roadmaps for enterprise data platforms
• Design modern data warehouse patterns using medallion architecture. Bronze silver gold
• Define canonical data models conformed dimensions and domain boundaries
• Set Master Data Management strategy including golden records matching and governance
• Define integration patterns for batch streaming and API based data movement
• Establish non functional requirements covering performance security scalability and cost

• Architect solutions on Microsoft Fabric at platform and solution level
• Define appropriate use of Lakehouse Warehouse OneLake and semantic models
• Set standards for data pipelines notebooks and orchestration patterns
• Define medallion layer responsibilities and data contracts between layers
• Govern Power BI semantic models Direct Lake usage and enterprise BI patterns
• Define security architecture using Entra ID RLS FLS and workspace separation

• Define enterprise MDM architecture and operating model
• Set standards for data domains ownership stewardship and controls
• Define data quality frameworks reference data management and issue management
• Ensure MDM integration into analytical and operational use cases

• Define enterprise BI and semantic layer architecture
• Set standards for KPI metric definition and reuse across the organisation
• Enable advanced analytics and data science consumption from curated layers
• Ensure consistency usability and performance of analytical models

• Source system classification and data contracts
• Ingestion and landing architecture
• Standardisation validation and data quality layers
• Master and reference data integration
• Analytical and dimensional modelling approaches
• Semantic layer and BI consumption patterns
• Metadata lineage observability and monitoring

• Act as architectural authority and design reviewer
• Produce architecture artefacts principles and standards
• Translate business strategy into scalable data architectures
• Work with engineers product owners and business leaders to govern delivery