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# Senior Enterprise Data Platform Architect

- **Company:** BITCOT INC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $80,000.0 - $135,000.0
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Microsoft Azure, Cloud Engineering, Data Architecture, Information Engineering, Data Governance, Dataspaces, Interoperability, Meta-Data Management, Software Engineering, Enterprise Data Management, Microsoft Fabric, Data Management
- **Published:** July 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0d654699d9a15bf2

## About the Role

* 10+ years in Enterprise Data Architecture or Platform Architecture.
 * Experience designing enterprise-scale data ecosystems.
 * Strong expertise in:
 * Data Fabric
 * Data Mesh
 * Data Products
 * Metadata Management
 * Master Data Management
 * Data Governance
 * Enterprise Data Platforms
 * Cloud architecture experience (AWS/Azure/GCP).
 * Strong executive communication skills.
 * Healthcare or regulated industry experience preferred., A strategic enterprise architect capable of designing scalable enterprise data ecosystems and governance models supporting long-term digital transformation.

## Description

Bitcot is seeking a Senior Enterprise Data Platform Architect to define and guide the enterprise data platform architecture for a leading healthcare organization. This individual will establish scalable data architecture patterns, governance frameworks, interoperability standards, and modern data platform strategies supporting enterprise-wide analytics and AI initiatives. This is a strategic architecture role focused on enterprise data platforms rather than application development or data engineering., * Define enterprise data platform architecture and long-term strategy.

 * Design scalable enterprise data platforms supporting multiple business domains.
 * Establish reusable architecture standards, frameworks, and reference models.
 * Lead Data Fabric, Data Mesh, and Data Product initiatives.
 * Develop enterprise metadata management strategy.
 * Build enterprise data governance and interoperability frameworks.
 * Architect structured, unstructured, clinical, operational, and research data integration.
 * Provide architectural leadership across cloud and hybrid environments.
 * Collaborate with engineering, governance, security, and business stakeholders.
 * Mentor enterprise architects and platform teams.


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