London Hybrid Lead Data Architect | Cloud & Analytics

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

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.