Square One Resources

We are looking for an experienced AI Data Platform Architect to join a strategic transformation initiative for Coveris. The consultant will play a leading role in defining the future enterprise data platform and AI-ready architecture, supporting both the discovery phase and the implementation roadmap.

This is a client-facing role requiring strong architectural expertise, excellent communication skills, and the ability to translate business objectives into scalable, secure, and future-proof data platform solutions.

Responsibilities

• Lead the technical discovery and architecture workstream
• Assess the current data landscape, including source systems, integrations, reporting flows, and architectural constraints
• Identify data fragmentation, technical risks, dependencies, and improvement opportunities
• Design the target-state ("North Star") enterprise data platform architecture
• Evaluate cloud data platform options, including Microsoft Azure, Microsoft Fabric, Databricks, AWS, and comparable technologies
• Recommend the optimal platform strategy based on business value, scalability, cost, security, operational feasibility, and EU data residency requirements
• Define integration patterns, data movement principles, and core platform building blocks
• Assess AI readiness and define the required data foundation to support AI and GenAI initiatives
• Provide recommendations for data governance, security, access management, and compliance
• Evaluate the technical feasibility of prioritized business use cases
• Support Phase 2 planning by contributing to the implementation roadmap, sequencing, and high-level effort estimation

Requirements

• Proven experience as an Enterprise Data Architect, Data Platform Architect, or similar senior architecture role
• Strong background in enterprise cloud data platforms and modern data architectures
• Hands‑on experience with Azure, Microsoft Fabric, Databricks, AWS, or similar cloud ecosystems
• Experience designing data lakes, data warehouses, lakehouses, analytics platforms, and integration architectures
• Strong understanding of data governance, security, identity and access management, and compliance principles.
• Ability to quickly assess complex and fragmented enterprise environments
• Excellent stakeholder management and client-facing communication skills

Preferred experience

• Experience within manufacturing, logistics, supply chain, finance, or other multi-site enterprise environments
• Integration experience with ERP, CRM, MES, operational systems, and reporting platforms
• Knowledge of AI readiness assessments, machine learning platforms, GenAI enablement, or data product development

Our offer

• Long-term engagement on a high-impact enterprise transformation programme
• Opportunity to shape the client's future enterprise data and AI architecture
• Collaboration with senior business and technology stakeholders
• Exposure to modern cloud data technologies and strategic architecture initiatives
• Dynamic, international project environment with opportunities for continued collaboration