Lead Data Architect - London - Hybrid

W Talent; Greater London; Hybride; GBP 81 000 - 99 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Benefits package

Résumé du poste

W Talent is recruiting a Lead Data Architect for a well-established client in London. The role is hybrid, demanding hands-on expertise in enterprise data analytics and leadership of a small team of Solution Architects.

You will shape strategic plans, engage stakeholders, and develop architectural blueprints with high-level design options across cloud-based data platforms such as Azure Data Lake, Azure Databricks, and governance tools.

Qualifications

• Experience leading small teams of Solution Architects.
• Hands-on role in enterprise data analytics architecture.
• Strategic planning, stakeholder engagement and architecture blueprints.
• Experience with Azure cloud services and data analytics tooling.

Responsabilités

• Lead the design of architectural blueprints for analytics platforms.
• Engage with stakeholders to align strategy and drive adoption of architecture.
• Mentor and lead a small team of Solution Architects.
• Evaluate enterprise data architecture tools and cloud services for analytics workloads.

Connaissances

IT leadership

Stakeholder engagement

Strategic planning

Executive communication

Problem solving

Independent working

Data governance

Data modelling

Cloud architecture

Architectural governance

Formation

TOGAF certification

Outils

Sparx Enterprise Architect

Azure Data Lake

Azure Data Factory

Azure Databricks

Unity Catalog

MS Purview

Power BI

Microsoft Fabric

Description du poste

I am recruiting for a suitable experienced Lead Data Architect for a very well established client.

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 Data Architect - Permanent

Location: London - Hybrid - 2/3 days per week with flexibility

Salary to £90,000 + Benefits

• 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. 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 influencesenior stakeholders.
• Working knowledge of quality standards, legislation, and best practice.
• Ability to think strategically, manage multiple initiatives, prioritise effectively, and work independently.
• 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