Cloud Data Architecture Lead – Databricks & Analytics

401 Protiviti Limited; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Pension scheme

25 days holiday

Hybrid working

Job summary

Protiviti seeks a London-based Senior Manager, Data Architecture to lead design and delivery of enterprise cloud data platforms. You will guide Databricks and Lakehouse solutions on Azure and/or AWS, translating complex requirements into scalable, secure architectures while advancing client relationships and practice development.

You will shape bids, proposals and client presentations, driving quality, governance and operational excellence across data engineering and governance disciplines.

Qualifications

• Significant experience designing and delivering enterprise cloud data architectures.
• Deep expertise in Databricks and modern Lakehouse architecture with practical Delta Lake knowledge.
• Strong experience with Microsoft Azure and/or AWS and modern data platforms.

Responsibilities

• Lead design and end-to-end delivery of scalable cloud data architectures for clients.
• Provide technical leadership across data platforms and guide data engineering teams.
• Shape bids, proposals and client presentations, ensuring quality and feasibility.
• Develop and mentor architects and engineers within the Data & Analytics practice.
• Balance delivery with business development and chargeability targets.

Skills

Cloud data architecture

Databricks

Azure/AWS

Data governance

CI/CD

Leadership

Education

Degree in Computer Science or related discipline

Tools

Databricks

Unity Catalog

Microsoft Fabric

Job description

Protiviti seeks a London-based Senior Manager, Data Architecture to lead design and delivery of enterprise cloud data platforms. You will guide Databricks and Lakehouse solutions on Azure and/or AWS, translating complex requirements into scalable, secure architectures while advancing client relationships and practice development.

You will shape bids, proposals and client presentations, driving quality, governance and operational excellence across data engineering and governance disciplines.