
Data Solutions Architect
1 week ago
A Data Engineer will help clients design scalable, secure, and high-performing data solutions aligned to business needs.
This role involves creating robust data models, flows, and storage using Microsoft Fabric and Azure SQL, as well as managing master data with Profisee and integrating with existing systems.
The ideal candidate will have 5+ years of experience in data engineering, database development, or architecture, with proficiency in SQL, NoSQL, and lakehouse architecture.
The successful candidate will work closely with analysts, developers, and business leaders to translate needs into data-driven solutions and document architectures, processes.
Key Responsibilities:
- Create scalable, secure, and high-performing data solutions
- Develop and manage data models, flows, and storage
- Manage master data and integrate with existing systems
- Collaborate with analysts, developers, and business leaders
Requirements:
- 5+ years of experience in data engineering, database development, or architecture
- Proficiency in SQL, NoSQL, and lakehouse architecture
- Strong understanding of data privacy, security, and API integration
- Hands-on experience with SSAS (tabular & OLAP models), MDX, and DAX
Bonus Points:
- Experience with Agile sprints
- Continuous improvement mindset
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