Senior Data & AI Architect - Business Intelligence - IT

Role Summary: Own the overall data, AI and BI architecture across platforms, pipelines, governance, security and scalability. Act as the technical conscience of the team: define standards, review designs and ensure we build reusable, enterprise-grade solutions rather than tactical reports. Key Responsibilities: - Define target architecture for data platforms, pipelines, cloud infrastructure, AI use cases and BI, covering security, scalability and cost. - Set standards for data models, integration patterns, model governance and performance. - Review solution designs across Data Engineering, BI, Analytics and AI workstreams. - Decide, per use case, whether the solution needs BI, AI, automation or a combination. - Mentor engineers and analysts so team capability compounds over time. What We Expect From You: - Translate business goals into a scalable, secure technical architecture without over-engineering. - Stay hands-on enough to unblock the team on hard technical problems, not just design on paper. - Proactively flag technical debt and risk before it becomes a delivery issue. - Push back on shortcuts that will hurt scalability. - Mentor junior and fresher engineers. Qualifications & Skills: - 10+ years across data engineering, analytics platforms and solution architecture, with 3+ years in an architect or lead role. - Depth in cloud data platforms (Azure preferred), data modelling, ETL/ELT, API integration and security. - Working knowledge of modern AI/GenAI patterns (RAG, agents, model governance) and Power BI ecosystems. - Track record of mentoring teams and governing delivery quality in a growing organisation. How the Team Works: Work flows from business demand intake through discovery, solution design, data foundation, dashboard and AI build, testing and adoption, to delivery governance and monthly continuous improvement. Every role in the team has a defined place in this flow and clear ownership of its outcomes.