Advisor specialty
Enterprise Data Architect
Designs the data model and ownership across the whole enterprise, not one system.
This describes a type of expertise, not a specific person. Ask us and we will tell you who in our network fits your initiative.
Use cases
Problems solved
- Data sits in separate systems, so no one sees the full picture: one connected view of orders, production and supply.
- Legacy warehouses are slow, costly and hard to change: a scalable platform that serves analytics and AI.
- The program needs direction, priorities and the right team: a clear roadmap, operating model and team plan.
Typical deliverables
- Current-state assessment and prioritized recommendations
- Target architecture and design decisions
- Areas
- Data & AI
- Platforms
- Snowflake, Databricks, Microsoft Azure, Google Cloud, Amazon Web Services
- Examples only. Not every specialist uses every platform.
- Engagement type
- Assessment, Architecture
- Selection criteria
- Suggested: 8 to 12+ years, with broad architecture or practice leadership.
- A guideline, not proof of seniority.