Epic Caboodle SME
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Role details
Tech stack
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Job description
Clarity-to-Caboodle Mapping
· Identify the Caboodle tables and columns that correspond to the Clarity tables referenced in the report inventory
· Identify gaps where Clarity fields or logic are not available in Caboodle, and recommend how to close them
· Recommend how to convert Clarity-based business rules and calculations to Caboodle
· Support Perficient data analysts and the client team in mapping and source-to-target validation
Databricks & Gold-Layer Design
· Recommend the Caboodle tables to bring into Databricks for each migration wave
· Advise clients on gold-layer design, including grain, flattening, reusable flags and metrics, and naming standards
· Help define data domains that support reporting, semantic models, and future AI use cases
· Contribute to gold-layer design standards and data domain specifications
Advisory & Collaboration
· Serve as the primary Caboodle resource for Perficient data engineers and Power BI developers
· Advise the client’s data team, explaining tradeoffs and recommendations clearly
· Flag data issues and risks early to keep the pilot and migration waves on schedule
· Account for a future move to Epic Cogito Cloud in design recommendations
Requirements
· 7+ years of experience in healthcare data, reporting, or BI, including 4+ years working with Epic reporting data
· Deep, hands-on expertise with the Epic Caboodle data model, including its fact and dimension tables
· Strong working knowledge of Epic Clarity tables, relationships, and reporting logic
· Experience mapping or converting Clarity-based reports and logic to Caboodle
· Advanced SQL skills, with the ability to read, write, and tune complex queries
· Strong dimensional modeling skills, including star schema design and table grain
· Experience in handling PHI in compliance with HIPAA and client security policies
· Strong communication skills, with the ability to advise client teams who make final decisions
·
Preferred / Nice to Have
· Epic Caboodle Data Model or Clarity Data Model certification
· Experience with Azure Databricks, Delta Lake, and Unity Catalog
· Exposure to Microsoft Fabric, Power BI semantic models, or Direct Lake
· Experience adding custom columns or tables to Caboodle
· Ability to read Crystal Reports logic and embedded SQL
· Epic Willow (pharmacy) reporting experience
· Familiarity with Epic Cogito Cloud
· Experience at an academic medical center or large health system
Educational Qualifications:
- Required - Bachelor’s degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent.
- Preferred - Master’s degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.
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