Data Architect – Health Care Payer Domain

TalentOla; Philadelphia (Philadelphia County); On-site; USD 120,000 - 150,000; Full time

Job summary

A healthcare data solutions provider seeks a Data Architect in Philadelphia to design secure data systems that enhance healthcare analytics. The ideal candidate has over 15 years of experience, with expertise in Data Architecture and healthcare interoperability standards. Responsibilities include developing data models tailored to healthcare requirements, recommending technologies for data integration, and ensuring compliance with regulations like HIPAA. Strong communication and leadership skills are essential, alongside the ability to optimize data storage solutions and propose innovative data strategies.

Qualifications

• 15+ years of experience in Data Architecture, preferably in healthcare.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage multiple priorities.

Responsibilities

• Design and implement integrated, scalable, and secure data systems.
• Develop and maintain healthcare-specific data models.
• Oversee implementation of data governance policies.
• Collaborate with data analysts, data scientists, and business leaders.

Skills

Data Architecture

SQL

NoSQL

PySpark

Python

Cloud platforms (Azure, GCP, AWS)

Healthcare interoperability standards

Business intelligence (BI)

Analytical skills

Communication skills

Tools

Azure Data Factory

Databricks

Kafka

IBM Datastage

Informatica

Erwin

Job description

Role: Data Architect – Health Care Payer Domain

Location: Philadelphia, PA (Onsite)

Experience: 15+Years

Contract role

Mandatory 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.
• Preferred Qualifications
• 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.

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.