Data Architect Healthcare Payer

Job Title: Data Architect Healthcare Payer

Location: Philadelphia, PA (Hybrid)

Employment Type: Long term Contract

Job Overview

We are seeking an experienced Data Architect with a strong background in the Healthcare Payer domain to design and lead scalable, secure, and high-performance data solutions. This role will focus on building modern data platforms (Data Warehouse & Data Lake) and enabling interoperability aligned with healthcare standards such as HEDIS and FHIR.

The ideal candidate is a hands-on architect with deep expertise in healthcare data models, interoperability frameworks, and cloud-based data ecosystems.

Key Responsibilities

• Design and implement scalable, secure, and high-performance data architectures supporting healthcare analytics and reporting.
• Develop and maintain conceptual, logical, and physical data models for healthcare domains (Claims, Clinical, Member, Provider, EHR).
• Build and implement interoperability solutions aligned with USCDI / US Core standards.
• Architect and optimize data warehouses and data lakes for real-time and batch processing.
• Ensure compliance with HIPAA, GDPR, and other healthcare data privacy regulations.
• Establish and enforce data governance frameworks ensuring data quality, integrity, and consistency.
• Evaluate and recommend data platforms, tools, and integration frameworks.
• Collaborate with business stakeholders, data analysts, data scientists, and IT teams to align architecture with business goals.
• Optimize data pipelines for performance, scalability, and low latency.
• Provide technical leadership, mentorship, and best practices guidance.
• Stay current with emerging technologies in healthcare data and analytics.

Required Skills & Experience

• 10+ years of experience in Data Architecture, preferably in healthcare.
• Strong experience in Healthcare Payer domain.
• Expertise in cloud platforms: Azure / AWS / Google Cloud Platform.
• Deep knowledge of healthcare interoperability standards:
• HL7, FHIR, CCD, HIE, USCDI / US Core
• Strong programming and data processing skills:
• SQL, NoSQL, Python, PySpark
• Experience with data modeling tools (e.g., Erwin).
• Hands-on experience with data integration and ETL tools:
• Azure Data Factory, Databricks, Kafka, Informatica, IBM DataStage
• Solid understanding of data warehousing, data lakes, and big data architectures.
• Experience implementing data governance and security frameworks.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and manage multiple priorities.

Preferred Qualifications

• 5+ years working with large-scale healthcare data systems.
• 5+ years designing interoperability solutions.
• Experience with modern data platforms:
• Databricks, Snowflake
• Familiarity with HEDIS measures and reporting.
• Experience working with EHR systems such as Epic or Cerner.