Data Architect (Independent consultants)

Philadelphia, PA, US • Posted 3 days ago • Updated 2 days ago
Full Time
Part Time
On-site
Fitment

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Job Details

Skills

  • GRID
  • JD
  • Data Architecture
  • Data Processing
  • HL7
  • HEDIS
  • Health Information Exchange
  • Amazon Web Services
  • Google Cloud
  • Google Cloud Platform
  • Snow Flake Schema
  • Cloud Computing
  • Microsoft Azure
  • Data Modeling
  • Dimensional Modeling
  • ERwin
  • Leadership
  • Collaboration
  • Database
  • SQL
  • NoSQL
  • PySpark
  • Python
  • ADF
  • Databricks
  • Apache Kafka
  • Informatica
  • IBM InfoSphere DataStage
  • Extract
  • Transform
  • Load
  • ELT
  • HIPAA
  • Data Governance
  • Regulatory Compliance
  • Business Intelligence
  • Analytics
  • SANS
  • Management
  • Health Care
  • Epic
  • Cerner
  • Technical Direction

Summary

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 & 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10236892
  • Position Id: OOJ - 5206-4207-1781120753
  • Posted 3 days ago
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