Architecture & Design
Define the target‑state cloud data architecture aligned to enterprise standards, including staging, conformed, and reporting layers.
Design scalable data models
Ensure architectural alignment with cloud‑native best practices for performance, cost optimization, Data quality & Governance and scalability.
Technical Expertise
Strong experience designing cloud‑based data warehouses (Google Cloud Platform / Azure / AWS).
Hands‑on expertise with modern data modeling techniques (dimensional, conformed, SCD, snapshot‑based reporting).
Experience with ETL/ELT architectures, metadata management, and data lineage.
Familiarity with enterprise BI and reporting platforms (e.g., Power BI, Looker, Tableau).
Strong experience designing cloud‑based data warehouses (Google Cloud Platform / Azure / AWS).
Hands‑on expertise with modern data modeling techniques (dimensional, conformed, SCD, snapshot‑based reporting).
Experience with ETL/ELT architectures, metadata management, and data lineage.
Familiarity with enterprise BI and reporting platforms (e.g., Power BI, Looker, Tableau).
Healthcare & Domain Knowledge (Additional Advantage)
Experience working with healthcare data domains such as patient access, revenue cycle, eligibility, scheduling, or clinical operations.
Understanding of healthcare data sensitivity, audit needs, and regulatory expectations.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91098872
- Position Id: 5562-10115-
- Posted 22 hours ago
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