Hello ,
We need the profile for below request .
As requested, please find below the demand summary and skill grid for your review. Kindly modify or update as needed.
Ideal Candidate Profile:
The ideal Data Architect candidate will have deep expertise in the healthcare payer domain , with strong knowledge of interoperability standards (FHIR, HL7, USCDI-US Core) and cloud-native data architecture . Hands-on proficiency in Databricks, Azure , and data modeling (especially dimensional modeling) is essential.
The candidate should be able to work independently , collaborate effectively with business teams and senior data architects , and develop scalable solutions.
Working mode:
This role follows a hybrid model , requiring 3 days onsite in the Philadelphia (PHL) area .
Number of positions:
The initial requirement is for two positions , with additional positions to be opened later.
Skill Grid:
Mandatory (must-have) skills are highlighted in yellow. The others are related areas and considered good-to-have tool skills.
| 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, GCP, 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 |
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