Intone Networks Inc

Data Architect with Health Care Payer Domain MUST HAVE

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with 10+ years of experience in the Health Care Payer domain, located in Philadelphia, PA (Hybrid). Key skills include expertise in data architecture, SQL, NoSQL, and cloud platforms, with a focus on healthcare interoperability standards.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
March 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#BI (Business Intelligence) #GDPR (General Data Protection Regulation) #Data Science #Databases #GCP (Google Cloud Platform) #Security #SQL (Structured Query Language) #Azure #Scala #Compliance #DataStage #Cloud #Data Warehouse #Data Modeling #Data Lake #Data Management #Snowflake #Data Integrity #Informatica #Storage #ADF (Azure Data Factory) #PySpark #Data Architecture #CMS (Content Management System) #Data Processing #ERWin #Kafka (Apache Kafka) #Data Storage #Azure Data Factory #NoSQL #Data Analysis #Databricks #Python #AWS (Amazon Web Services) #FHIR (Fast Healthcare Interoperability Resources) #Data Governance #Spark (Apache Spark)
Role description
Position Title : Data Architect/Lead with Health Care Payer Domain MUST HAVE Location : Philadelphia, PA (Hybrid) Experience Level : 10+Years The Data Architect is responsible for designing, building, and maintaining the data infrastructure and solutions that enable efficient and secure collection, storage, and analysis of healthcare data in different data platforms (Data Warehouse & Data Lake). This role involves in working range of stakeholders including business and IT teams to ensure data architecture support business needs while adhering to compliance and security standards. The ideal candidate will have experience in HEDIS, CMS Interoperability (FHIR). Key Responsibilities :- • Design and implement Integrated, scalable, efficient, and secure data systems for storing, processing, to support healthcare analytics and data driven decision making. • Design and implement scalable, flexible, and secure interoperability solutions aligned to USCDI-US Core compliant. • Develop and maintain data models (logical, physical and conceptual) that support healthcare-specific requirements (Clinical, Claims, Member, Provider, EHR etc.) and other data architecture artifacts. • Evaluate and recommend data management technologies, platforms, frameworks, and methodologies that optimize data collection and integration for healthcare applications. • Oversee the implementation of data governance policies to ensure data integrity, quality, security, and compliance and other relevant healthcare regulations to protect sensitive patient information with HIPAA standards. • Ensure data architecture complies with healthcare regulations such as HIPAA, GDPR, and other privacy laws. • Candidates need to be independent thought leaders and able to self-direct. • Possess expertise and sound foundation in data management techniques & principles. • Hands on experience in end-to-end data processing is a must. • Collaborate with Business data analysts, data scientists, IT Professionals, and business leaders to understand their data needs and ensure architecture supports organizational goals. • Optimize data storage solutions, reducing latency and ensuring quick access to real-time and historical data. • Help to establish and enforce data governance frameworks, ensuing data consistency, quality, and standardization across systems. • Stay updated on emerging technologies in healthcare data management. • Propose innovative solutions to enhance data-driven decision-making. • Provide training and guidance to other team members. Experience & Skills :- • Expertise in Data Architecture, databases, and cloud platforms (Azure, GCP, AWS etc.) • In-depth knowledge of healthcare interoperability standards (HL7, FHIR, CCDs, HIE, USCDI-US Core etc.). • Proficiency in SQL and NoSQL databases, PySpark and Python. • Experience with data modeling tools like Erwin. • Experience with integration tools like Azure Data Factory, Databricks, Kafka, IBM Datastage, Informatica etc. • Understanding of business intelligence (BI) and analytics platforms. • Strong analytical and problem-solving skills. • Excellent communication and interpersonal skills to collaborate with cross functional teams. • Ability to work independently and manage multiple priorities. • 10+ years of experience in Data Architecture, preferably in the healthcare industry. • 5+ years of experience with managing large-scale data systems in healthcare. • 5+ years of experience in designing and implementing interoperability solutions in healthcare. • 5+ years of experience in solutioning cloud data platforms (Azure, AWS, GCP, Databricks, Snowflake etc.) • Experience with major EHR systems like Epic, Cerner etc. is plus.