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Data Architect

Job in Philadelphia, Philadelphia County, Pennsylvania, 19117, USA
Listing for: Openkyber
Full Time position
Listed on 2026-07-08
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Data Analyst, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

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.

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, 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 & No

SQL Proficiency in SQL, No

SQL, PySpark, Python Integration Tools ADF, Databricks, Kafka, Informatica, IBM Data Stage 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

For applications and inquiries, contact:

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