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- 3-5 years of experience in architecting data and AI solutions on public cloud
- Deep understanding of data architectures that utilize Data Lakehouse / Data Mesh
- Demonstrated ability to quickly research, learn, adopt, and apply new technologies
- Proven experience with creating efficient (Cost/Performance) architectures that conform to functional/SLA needs
- Strong SQL and database skills working with large structured and unstructured data
- Strong familiarity with enterprise reporting solutions (PowerBI, Qlik, Tableau), data virtualization and semantic modeling
- Expertise with solution development using No-SQL data platforms.
- Infrastructure as Code (IaC) technologies such as Azure Resource Manager (ARM) or Terraform