Required
Required Skills & Experience
• Lead-architect-level data migration on an EHR consolidation or Federal health-IT program
• Deep source-to-target mapping and canonical modeling expertise
• ETL tooling architecture (Informatica, Talend, Rhapsody, or equivalent)
• HL7 v2 / FHIR / CCDA fluency for clinical data
• Hands-on with reconciliation, data quality rules, and cutover rehearsal strategy
Specific Requirements
• Education & Experience: Bachelor's + 12 yrs; Master's + 10 yrs; PhD + 7 yrs; Associate's + 14 yrs; or 16 yrs experience without a degree.
• Federal facility access / background investigation clearance
• US. citizenship required.
• Signed Non-Disclosure Agreement (NDA) by Day 1.
Desired
Preferred Certifications & Qualifications
• At least one prior MHS GENESIS, Cerner, Epic, or large EHR migration as lead architect or deputy
• Oracle Health / Cerner Millennium data model familiarity
• AWS or Azure data-platform certifications
• Experience with VA/VistA data migration
AFRH has ten-plus legacy systems. You're the one who designs how all of that data lands cleanly inside MHS GENESIS — and defends every decision.
Position Overview
The architectural lead for migrating AFRH's legacy clinical, dental, pharmacy, and administrative data (Dr. Cloud, Point Click Care, Eagle Soft, Diamond EHR PRO, EPIC, AthenaOne, NovaNet, Insight Go, SRTS) into MHS GENESIS.
What You'll Do
• Design the end-to-end data migration architecture — source analysis, canonical mapping, ETL framework, reconciliation, cutover sequencing
• Own source-to-target mapping decisions and data model reconciliation to MHS GENESIS
• Lead the Senior Data Engineers, ETL Analysts, and Data Quality team through execution
• Define migration tooling architecture and automation standards
• Partner with the Chief Architect, Integration Lead, and Cutover Manager on sequencing and dependencies
• Drive the data-quality framework — rules, thresholds, reconciliation reporting
• Produce migration architecture artifacts for Government review
*** Position contingent upon award ***
AFRH has ten-plus legacy systems. You're the one who designs how all of that data lands cleanly inside MHS GENESIS — and defends every decision.
Position Overview
The architectural lead for migrating AFRH's legacy clinical, dental, pharmacy, and administrative data (Dr. Cloud, Point Click Care, Eagle Soft, Diamond EHR PRO, EPIC, AthenaOne, NovaNet, Insight Go, SRTS) into MHS GENESIS.
What You'll Do
• Design the end-to-end data migration architecture — source analysis, canonical mapping, ETL framework, reconciliation, cutover sequencing
• Own source-to-target mapping decisions and data model reconciliation to MHS GENESIS
• Lead the Senior Data Engineers, ETL Analysts, and Data Quality team through execution
• Define migration tooling architecture and automation standards
• Partner with the Chief Architect, Integration Lead, and Cutover Manager on sequencing and dependencies
• Drive the data-quality framework — rules, thresholds, reconciliation reporting
• Produce migration architecture artifacts for Government review
*** Position contingent upon award ***
Required
Required Skills & Experience
• Lead-architect-level data migration on an EHR consolidation or Federal health-IT program
• Deep source-to-target mapping and canonical modeling expertise
• ETL tooling architecture (Informatica, Talend, Rhapsody, or equivalent)
• HL7 v2 / FHIR / CCDA fluency for clinical data
• Hands-on with reconciliation, data quality rules, and cutover rehearsal strategy
Specific Requirements
• Education & Experience: Bachelor's + 12 yrs; Master's + 10 yrs; PhD + 7 yrs; Associate's + 14 yrs; or 16 yrs experience without a degree.
• Federal facility access / background investigation clearance
• US. citizenship required.
• Signed Non-Disclosure Agreement (NDA) by Day 1.
Desired
Preferred Certifications & Qualifications
• At least one prior MHS GENESIS, Cerner, Epic, or large EHR migration as lead architect or deputy
• Oracle Health / Cerner Millennium data model familiarity
• AWS or Azure data-platform certifications
• Experience with VA/VistA data migration