| Skill Area | JD Requirement | Details |
| Core Experience | Data Architecture | 10+ years, preferably in healthcare; end-to-end data processing. |
| Healthcare Domain | Healthcare data expertise | Payor ( strong expertise is needed), Clinical, Claims, Member, Provider, EHR data models |
| Interoperability Standards | FHIR, HL7, USCDI-US Core | Experience with HEDIS, CMS interoperability, CCDs, HIE |
| Cloud Platforms | Azure, AWS, Google Cloud Platform, Databricks, Snowflake | 5+ years designing/solutioning cloud data platforms. Hands on Azure and Databricks are mandatory |
| Data Modeling | Dimensional modeling | Tools like Erwin; healthcare-specific requirements |
| Leadership & Collaboration | Independent thought leader | Ability to self-direct, collaborate with analysts, scientists, IT, business leaders and develop solutions. |
| Databases | SQL & NoSQL | Proficiency in SQL, NoSQL, PySpark, Python |
| Integration Tools | ADF, Databricks, Kafka, Informatica, IBM DataStage | Hands-on experience with modern ETL/ELT tools |
| Governance & Compliance | HIPAA, GDPR, Data Governance | Policies for integrity, quality, security, compliance |
| BI & Analytics | BI platforms | Understanding of BI/analytics platforms |
| Preferred Qualifications | Healthcare systems & large-scale data | 5+ years managing large-scale healthcare data systems; Epic/Cerner experience is a plus |