Azure Data Platform Architect: AI & Public Sector Leader

Credera; Leeds; Hybrid; GBP 82,000 - 95,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Job summary

Credera is seeking a Data Platform Architect to shape data and AI capabilities on Azure for public sector and regulated clients. You will set architectural direction, advise senior stakeholders, and lead delivery teams while integrating ML and Generative AI into scalable, secure solutions.

You will combine hands-on architecture with senior leadership to own complex areas of delivery and drive modern data platforms across ingestion, storage, processing and governance.

Qualifications

• 8+ years of experience in data, analytics and AI platform architecture.
• Expertise in Microsoft Azure data & analytics services across the data value chain.
• Experience defining target architectures and roadmaps for modern data platforms.
• Experience designing scalable platform components across batch and real-time processing.
• Experience integrating ML, Generative AI and foundation models into enterprise solutions.
• Experience implementing robust data management, identity, security and governance.
• Proven ability to lead multiple complex work streams to time, cost and quality.
• Ability to influence senior stakeholders in client delivery to achieve objectives.
• Track record of addressing risk and leading SMEs to resolution.
• Active SC clearance is required.

Skills

Data & AI platform architecture

Azure data services

Stakeholder leadership

Governance & security

ML/Generative AI integration

Cloud architecture

Mentoring engineers

Public sector awareness

Risk management

SC clearance

Tools

Azure Databricks

Azure Synapse Analytics

Azure Data Factory

Azure Data Lake Storage Gen2

Event Hubs

Stream Analytics

Microsoft Purview

Microsoft Entra ID

Terraform

Bicep

GitHub Copilot

Job description

Credera is seeking a Data Platform Architect to shape data and AI capabilities on Azure for public sector and regulated clients. You will set architectural direction, advise senior stakeholders, and lead delivery teams while integrating ML and Generative AI into scalable, secure solutions.

You will combine hands-on architecture with senior leadership to own complex areas of delivery and drive modern data platforms across ingestion, storage, processing and governance.