W Talent
Lead Solution Architect - Data - Hybrid - London
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Lead Solution Architect - Data
This is very much a hands-on role, with deep experience with Enterprise Data Analytics, with experience of leading small team of Solution Architects.
You and your team will engage in strategic planning, stakeholder engagement, and the development of architectural blueprints, high level design and technical options
Lead Solution Data Architect - Permanent
Location: London - Hybrid - 2/3 days per week with flexibility
Salary: to £90,000 + Benefits
Key Skills & Essential Experience
- Experience in IT leadership and management, including the development of highly skilled and engaged teams.
- Critical thinking with the ability to develop long-term strategies and advocate those strategies with stakeholders.
- Understanding of cloud-based services and their role in enterprise solutions.
- Deep domain expertise and demonstrable hands-on design experience with cloud-based services for modern analytics on the Microsoft Cloud (e.g. Azure Data Lake, Azure Data Factory, Azure Databricks & Unity Catalog, MS Purview, PowerBI, Ms Fabric)
- Deep expertise in data architecture, including data modelling (conceptual and logical), Master and Reference Data Management, data quality, security, cataloguing, integration and governance capabilities across the data lifecycle in enterprise environments
- Experience shaping and driving adoption of enterprise data architecture principles, and governance practices to manage data risks and auditability
- Self-managing and self-motivated, with the ability to anticipate and solve problems.
- Excellent communication skills, including the ability to present and influence senior stakeholders.
- Working knowledge of quality standards, legislation, and best practice.
- Ability to think strategically, manage multiple initiatives, prioritise effectively, and work independently.
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Desirable Skills:
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- Experience working with enterprise architecture frameworks (e.g. TOGAF, Zachman) and data modelling tools (e.g. Sparx Enterprise Architect)
- Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures.
- Broader expertise of technologies and applications relevant to the Bank’s enterprise applications (e.g. Cloud, Azure, Databricks), and enterprise data and analytics ecosystems, including medallion architectures, data lakehouse designs, master data systems, legacy data warehouses, data engineering (ETL, ELT, CDC) for enterprise scale analytics)
- Experience with data product thinking, domain-oriented ownership or federated operating models
- Understanding of data standards and industry models (e.g. ISO20022, FIBO, SDMX)
- Experience in platform selection, vendor evaluation and strategic technology direction
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