Enterprise & Data Architect
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- Map business capabilities and design interoperable enterprise foundations
- Modernize cloud and data platforms with reliability, governance and economics
- Architect AI-ready enterprise platforms and govern continuous evolution
Benchmark: Google Cloud Enterprise Architect + AWS ProServe Cloud Architect roles and AI-ready data architecture signals (current Sep 2026) Market refresh: business capability and target-state architecture, distributed integration, hybrid-cloud modernization, governed data/lakehouse, AI-ready context, Zero Trust, reliability/cost and architecture governance.
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Map business capabilities and design interoperable enterprise foundations
Business capability, value streams + target-state views
Coverage: Systems Architecture & System Design / Enterprise Architecture
API/event integration + distributed-system boundaries
Coverage: Architect Integration Strategy / Distributed Systems
Modernize cloud and data platforms with reliability, governance and economics
Lakehouse, catalog, lineage + governed data products
Coverage: Data Modeling, Warehousing & Lakehouse / Data Governance
Migration, hybrid-cloud + reliability/cost tradeoffs
Coverage: Cloud Architecture, Migration & FinOps / SRE
Architect AI-ready enterprise platforms and govern continuous evolution
Agentic/AI-ready data, context + semantic architecture
Coverage: AI Data Strategy / Intelligent Data Platforms / AI Architecture
Identity, trust boundaries + architecture governance
Coverage: IAM / Zero Trust / Portfolio Roadmap & Lifecycle Management
Role-Readiness Proof / Capstone
Produce a CTO-ready enterprise transformation blueprint for a multi-business organization: map capabilities and current-state applications/data/integrations; define target-state cloud, data and AI architecture with NFRs; specify API/event contracts, governed lakehouse/catalog/lineage and semantic/context layers; design identity and trust boundaries; migrate one representative workload; model SLO, capacity and FinOps tradeoffs; record architecture decisions and exceptions; sequence migration waves, dependencies and risks; validate one AI/agent use case on governed enterprise data; finish with an architecture review board package and executive roadmap.
Proof Rubric
- Show traceability from business outcomes to capabilities and architecture
- defend distributed-system, integration and migration choices
- demonstrate data contracts, lineage, governance and semantic/context quality
- quantify reliability, performance, capacity and cost
- enforce identity/trust boundaries and policy
- document ADRs, standards and exceptions
- prove one migration/AI slice works
- communicate roadmap, risk and value clearly to business and technology leaders