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- 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
Responsibilities
- Robust knowledge of data management industry (DW, BI, BD, Cloud, MDM, DG, DQ, Data Modeling)
- Ability to research and learn new technologies and processes quickly
- Ability to lead cross-functional projects and teams
- Ability to evaluate an existing architecture and document issues and suggested improvements
- Ability to Architect solutions based on customer requirements
- Excellent oral and written communication skills, including presentation experience, with proven leadership and mentoring abilities
- Ability to work independently on projects as well as collaborate effectively across teams.
- Excels in a fast-paced, agile environment where critical thinking and strong problem solving skills are
required for succes