Head of Data Architecture
Careerwise
London, UK
3 days ago
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Role details
Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Expert
Compensation
£67,238.0
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Data Analysis
Encodings
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
Extract Transform Load (ETL)
Data Warehousing
Microsoft Data Access Components
Metadata
Meta-Data Management
+9 more
Standard Sql
Enterprise Data Management
Event Driven Architecture
Microsoft Fabric
Data Lineage
Enterprise Integration
Data Management
Stream Analytics
Crud
Job description
This role will lead the design of a Microsoft Fabric-based enterprise data platform, embedding metadata-driven principles, strong governance, and data quality standards at the heart of the architecture. The role combines strategic enterprise data architecture responsibilities with hands-on involvement in designing and supporting the build of the data platform and its associated data products., * Define scalable architecture patterns across Lakehouse, Data Warehouse, Data Engineering, Real-Time Analytics and Semantic Models
- Develop enterprise data architecture roadmaps, target-state architectures and transition strategies
- Design conceptual, logical and physical data models
- Establish metadata-driven architecture principles and frameworks
- Drive data lineage, cataloguing, metadata management and impact analysis
- Define and embed data governance, data quality and MDM principles
- Design enterprise integration patterns covering APIs, ETL/ELT and event-driven architectures
- Establish data ownership, authoritative data sources and CRUD matrices
- Partner closely with Data Engineering, Analytics, Enterprise Architecture, Technology and business stakeholders
- Provide architectural leadership and assurance throughout platform delivery
Requirements
- Significant experience in Data Architecture / Enterprise Data Architecture / Solution Architecture
- Strong hands-on experience with Microsoft Fabric and the Microsoft Data Platform ecosystem
- Expertise across Fabric Lakehouse, Warehouse, Data Engineering, Real-Time Analytics and Semantic Models
- Strong enterprise data modelling and information architecture experience
- Proven experience with metadata-driven architecture
- Strong knowledge of data governance, data quality, lineage and metadata management
- Experience with Master Data Management (MDM) and data mastering
- Strong understanding of enterprise integration architecture, APIs, ETL/ELT and event-driven patterns
- Strong SQL and data modelling skills
- Excellent stakeholder management and communication skills
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