Why This Role Stands Out
Shape the future of healthcare data by designing innovative, scalable architectures for a leading technology company, offering significant opportunities for professional growth and skill development. You'll thrive in this hybrid role if you're a mid-senior professional passionate about building robust data solutions and ensuring compliance within the dynamic healthcare industry. Apply today to join a collaborative team and make a real impact!
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
- Data Architecture & OTLP Modeling Design and maintain enterprise-wide OTLP (Operational Transactional and Longitudinal Patient) data models for healthcare applications.
- Develop conceptual, logical, and physical data models supporting patient, provider, claims, pharmacy, and clinical data domains.
- Create scalable architectures that support real-time, batch, and longitudinal healthcare data processing. Define data standards, metadata frameworks, and master data management strategies.
- Drive data lake, data warehouse, and healthcare data platform architectures.
- Healthcare Data Integration Architect solutions integrating data from: EHR/EMR systems Claims platforms Pharmacy systems Laboratory systems Care management solutions Design data ingestion frameworks leveraging HL7, FHIR, X12, CDA, and other healthcare interoperability standards.
- Collaborate with integration teams to establish end-to-end healthcare data flows.
- Cloud Data Platform Architecture Design modern healthcare data platforms on Azure, AWS, or Google Cloud Platform.
- Architect scalable solutions using: Databricks Snowflake Azure Synapse Delta Lake Data Lakehouse architectures Define enterprise data storage and processing strategies. Data Governance & Compliance Establish data quality, lineage, catalog, and governance frameworks.
- Ensure compliance with: HIPAA HITECH CMS regulations Healthcare security standards Define governance processes for protected health information (PHI).
- Analytics & Reporting Enablement Enable enterprise reporting, operational analytics, population health analytics, and AI/ML solutions.
- Design dimensional models and data marts supporting business intelligence platforms. Collaborate with business stakeholders to translate healthcare requirements into scalable data architecture solutions.
- Leadership & Stakeholder Management Mentor data engineers, modelers, and architects.
- Lead architecture reviews and governance councils.
- Partner with product owners, clinical stakeholders, business leaders, and technology teams. Provide strategic recommendations on healthcare data modernization initiatives.
Required Qualifications
- Experience 15+ years of experience in Data Architecture, Data Warehousing, and Enterprise Data Management. 8+ years of experience in Healthcare Data Platforms and Healthcare Analytics.
- Proven experience designing OTLP/longitudinal healthcare data models. Experience leading large-scale healthcare data transformation initiatives. Data Architect Healthcare Domain, OTLP Modelling
Skills
AWS
Snowflake
Azure
Databricks
Google Cloud
HIPAA
Stakeholder Management
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