Data, Analytics & AI Solution Architect
Role Overview
Lead solution design for enterprise data, analytics, and AI initiatives in a Microsoft-first environment.
Translate business requirements into secure, scalable, supportable architectures and guide teams from design to production readiness.
The role combines architecture leadership with hands-on Power BI, Azure data platform, and enterprise AI experience.
Key Skills for This Role
Full Job Posting
Organization and team
Teva describes itself as a biopharmaceutical company with a generics business.
DADAI is building an enterprise delivery engine for data products, digital automation, and applied AI.
The organization aims to scale enterprise delivery while maintaining engineering standards, architecture, security, quality, and internal ownership.
Role overview
Lead solution design for enterprise data, analytics, and AI initiatives in a Microsoft-first environment.
Translate business requirements into secure, scalable, supportable architectures and guide teams from design to production readiness.
The role combines architecture leadership with hands-on Power BI, Azure data platform, and enterprise AI experience.
Responsibilities
- Own end-to-end architecture for data, analytics, and AI use cases, including quality, security, scalability, supportability, and cost.
- Translate business needs into technical designs, target architectures, integration patterns, and implementation guidance.
- Lead prototyping, architecture reviews, troubleshooting, code and design reviews, and technical support for delivery teams.
- Ensure security, governance, compliance, and operational readiness from design through production deployment.
Required experience and qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- 15 or more years of IT experience, including 10 or more years in senior solution architecture for enterprise data, analytics, and AI platforms.
- At least 2 years delivering Microsoft-first AI platforms and services, such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, and Prompt Flow.
- At least 7 years with Azure data platforms, including Azure Data Factory, Databricks, data lakes, SQL, and dimensional data modeling.
- Experience owning architecture end to end, validating designs through prototypes or proofs of concept, guiding implementation, and overseeing production readiness.
- Strong enterprise security, governance, and compliance experience and excellent English communication skills.
Additional skills
- The role calls for hands-on technical leadership, architecture judgment, practical solution design, troubleshooting, decision-making, estimation, and risk management.
- The role involves distributed teams and external suppliers in enterprise delivery environments.
- Deep hands-on expertise in Power BI is listed as good to have.
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