Data Warehouse Architect
Listed on 2026-08-21
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IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Warehousing
Data Architect
Remote
Compensation: $62 - $67/hr
ABOUTTHE ROLE
Our client is seeking an experienced Data Architect to lead the design and modernization of enterprise data solutions in a cloud-first environment. In this fully remote role, you will serve as a strategic advisor to both business and technical teams, designing scalable Azure-based data architectures that support analytics, reporting, and operational data needs. The ideal candidate brings deep expertise in cloud data platforms, architecture best practices, and data modernization initiatives, with healthcare industry experience strongly preferred.
You will play a key role in establishing architectural standards, guiding implementation teams, and identifying opportunities to enhance data quality, scalability, reliability, and cost efficiency.
- Design and evaluate end-to-end data architectures leveraging Azure data services and cloud-native technologies
- Partner with engineering, analytics, and business stakeholders to define scalable and secure data solutions
- Develop architectural standards, best practices, and recommendations for data platforms and integration strategies
- Guide implementation teams on data modeling, pipeline design, performance optimization, and governance
- Assess existing environments and identify opportunities to improve data quality, scalability, reliability, and cost efficiency
- Provide technical leadership around cloud architecture, data storage, analytics, and modernization initiatives
- Support architectural decision-making and ensure solutions align with long-term business objectives
- 8+ years of experience in data architecture, cloud architecture, or enterprise data engineering
- Strong expertise with Azure data technologies such as Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, and Azure Data Lake Storage (ADLS)
- Deep understanding of data modeling, ETL/ELT pipelines, cloud architecture principles, and modern analytics platforms
- Experience evaluating and recommending enterprise-scale data architecture solutions
- Strong communication skills with the ability to collaborate across business and technical teams
- Experience with data governance, security, performance tuning, and cost optimization strategies
- Healthcare industry experience strongly preferred; oncology experience is a plus
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