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# Enterprise Data Architect / Migration Expert (Remote)

- **Company:** GovCIO
- **Location:** Augusta, ME, United States (Remote available)
- **Salary:** $185,000.0
- **Contract:** Permanent contract
- **Skills:** Cerner, Agile Methodology, Artificial Intelligence, Microsoft Azure, Biometrics, Cloud Computing, Data as a Services, Information Engineering, Metadata, SQL Azure, Query Optimization, Enterprise Data Management, Data Ingestion, Azure Data Factory, Network Server, Devsecops, Databricks
- **Published:** August 14, 2026
- **Apply:** https://dejobs.org/x/x/CFF92AF14CBF45C88F427CF8465B0565/job/

## About the Role

* 12+ years of relevant experience, or equivalent professional expertise.
 * Experience working with CDW / VISTA / Oracle Health data
 * Expertise in CDW Metadata, data modeling, and CDW query optimization
 * Ability to identify architectural migration patterns and resolve dependencies
 * Strong interpersonal skills to collaborate with a wide range of VA stakeholders
 * Effective written and oral communication skills.

Preferred Skills and Experience

 * Experience with virtual and/or cloud-based servers
 * Excellent technical documentation and reporting skills.
 * Experience working in an Agile environment.

Clearance Required: Must be able to obtain and maintain a Suitability/Public Trust clearance, * A valid photo ID must be presented during each interview

 * During the Hiring Process
 * Enhanced Biometrics ID verification screening
 * Background check, to include:
 * Criminal history (past 7 years)
 * Verification of your highest level of education
 * Verification of your employment history (past 7 years), based on information provided in your application

## Description

* Lead the design and evelolution of Summits enterprise data architecture, defining scalable patterns for data ingestion, integration, storage, transformation, and governance across complex VA environments
 * Provide deep technical leadership across Azure cloud and data services, including Azure data factory, azure databricks, azure SQL, and ADLS supporting enterprise-scale data workloads.
 * Develop and enforce reference architecture, data models, and architecture decisions.
 * Provide technical leadership across Data Engineering, DevSecOps, AI/ML, Cloud provisioning, and security teams.


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