Position Details
About this role
This role involves leading enterprise data architecture initiatives, designing AI-ready data platforms, and ensuring data interoperability across platforms in a healthcare-focused environment.
Key Responsibilities
- Architect enterprise data domains
- Design semantic layers and data models
- Define data interoperability principles
- Align architecture with AI roadmap
- Oversee data environment design
Technical Overview
The technical scope includes data modeling, semantic layer design, multi-cloud integration, and AI/ML support, with a focus on scalable, governed data environments.
Ideal Candidate
The ideal candidate is a senior data architect with over 7 years of experience in data engineering and architecture, skilled in designing enterprise-wide data platforms, semantic layers, and AI-ready data solutions. They possess strong leadership and strategic thinking abilities to guide complex data initiatives.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 7 years of experience in data architecture, Lack of experience with multi-cloud environments, No experience in AI or advanced analytics, Inability to lead enterprise data initiatives
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