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AI Summary
Lead the design of end-to-end data architectures, covering ingestion, storage, processing, and consumption. Translate complex business requirements into technical data structures and communicate these architectures to non-technical stakeholders.
- Data modeling (conceptual, logical, physical)
- Designing end-to-end data architectures (ingestion → storage → processing → consumption)
- Defining standards for schemas, naming, versioning, and reuse
- Storage & Processing – relational databases, big data & analytics platforms, object storage
- Cloud Architecture – Azure/Microsoft Fabric fundamentals, cost optimization & scalability patterns, security & networking basics
- Translating business requirements into data structures
- Understanding business processes and operating models
- Explaining complex architectures to non-technical stakeholders
- Creating clear architecture diagrams and decision documents
- Facilitating design workshops and tradeoff discussion
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