Senior Azure Data, Analytics & AI Architect

Teva Pharmaceuticals; Harlow; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Generous annual leave

Flexible working schedules

Tailored health support

Career development platform Twist

Job summary

Teva Pharmaceuticals seeks a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. Translate business requirements into secure, scalable architectures; guide delivery teams through design, prototyping, implementation and production readiness.

The role requires strong architecture leadership, deep Azure-based data platforms experience (ADF, Databricks, data lake, SQL), and enterprise AI governance,

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 15+ years IT experience, including 10+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• Proven hands-on delivery experience with Microsoft-first AI platforms and services.

Responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready guidance.
• Lead by example through prototyping, architecture reviews, troubleshooting, and code/design reviews for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design to production deployment.

Skills

Architectural leadership

Azure data

Power BI

Security & governance

Enterprise AI

Stakeholder comms

Education

Bachelor’s degree in CS/IS/Engineering

Tools

Azure Data Factory

Databricks

Azure DevOps

GitHub Enterprise

CI/CD pipelines

Job description

Teva Pharmaceuticals seeks a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. Translate business requirements into secure, scalable architectures; guide delivery teams through design, prototyping, implementation and production readiness.

The role requires strong architecture leadership, deep Azure-based data platforms experience (ADF, Databricks, data lake, SQL), and enterprise AI governance,