Data Architect
Job Location:
Philadelphia, PA - USA
Monthly Salary:
Posted on:
Vacancies:
Job Summary
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 |
