Healthcare Data Architect / Lead Data Modeler

GTSS Inc
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Microsoft Azure Health Informatics Information Systems Data Architecture Data Definition Language Data Governance Data Manipulation Languages Data Migration Data Profiling Data Security Data Warehousing
+23 more
Database Schema Dimensional Modeling Health Information Management Information Management Meta-Data Management Online Analytical Processing Online Transaction Processing Query Optimization Power BI Azure Data Lake SQL Stored Procedures Tableau (Software) Enterprise Data Management Freeform SQL Azure Data Factory Sql Optimization Snowflake Information Technology Collibra Star Schema Data Management Tools for Reporting Data Pipelines

Job description

We are seeking a Senior Healthcare Data Architect / Lead Data Modeler to support enterprise data warehouse (EDW) initiatives for a large-scale healthcare analytics environment. This role is responsible for designing and maintaining enterprise data models, defining data architecture standards, and translating complex healthcare business requirements into scalable data solutions., * Design, develop, and maintain conceptual, logical, and physical enterprise data models using ERwin Data Modeler.

  • Translate healthcare business requirements into scalable enterprise data architecture solutions.
  • Build and optimize enterprise data models supporting large-scale healthcare data warehouses and analytics platforms.
  • Develop and maintain normalized, dimensional, OLTP, and OLAP data models.
  • Design fact and dimension models, Star Schemas, Snowflake Schemas, Slowly Changing Dimensions (SCD), and Master Data Management (MDM) solutions.
  • Create and optimize complex SQL queries, stored procedures, DDL, DML, and database objects while ensuring high performance.
  • Drive enterprise data governance, metadata management, data quality, data profiling, and data security initiatives.
  • Ensure compliance with healthcare regulatory standards including HIPAA, PHI, and PII.
  • Collaborate with business stakeholders, data engineers, architects, and analytics teams to deliver enterprise healthcare data solutions.
  • Support enterprise reporting, analytics, and information management initiatives across the healthcare organization.
  • Define enterprise data standards, architecture roadmaps, and best practices., * ERwin Data Modeler
  • Enterprise Data Modeling
  • Healthcare Data Architecture
  • Enterprise Data Warehouse (EDW)
  • Advanced SQL
  • Data Governance
  • Data Quality
  • Metadata Management
  • MDM
  • OLTP / OLAP
  • Star Schema
  • Snowflake Schema
  • Dimensional Modeling
  • HIPAA / PHI / PII
  • Medicaid & Medicare Data, * Azure Data Factory
  • Azure Data Lake Storage
  • Azure Purview
  • Snowflake
  • Power BI
  • Tableau

Requirements

The ideal candidate will have extensive experience in Healthcare Data Modeling, ERwin Data Modeler, Advanced SQL, and Enterprise Data Warehouse (EDW) environments, along with deep knowledge of Medicaid, Medicare, and Commercial healthcare data. This is a hands-on role requiring expertise in data architecture, governance, and healthcare information management., * Bachelor’’s degree in Computer Science, Information Systems, Data Management, Healthcare Informatics, or a related field.

  • 10+ years of experience in Enterprise Data Architecture and Data Modeling.
  • 5+ years of hands-on experience with ERwin Data Modeler.
  • Extensive experience designing enterprise data models for Healthcare, including Medicaid, Medicare, and Commercial healthcare data.
  • Strong experience building Enterprise Data Warehouse (EDW) solutions.
  • Expert knowledge of:

  • Conceptual, Logical, and Physical Data Modeling
  • OLTP and OLAP Architecture
  • Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Slowly Changing Dimensions (SCD)
  • Master Data Management (MDM)

Advanced SQL expertise including:

  • Complex analytical queries
  • Query optimization
  • Stored Procedures
  • DDL, DML, and DCL

Strong knowledge of:

  • Data Governance
  • Data Quality
  • Data Profiling
  • Metadata Management
  • Data Migration
  • Data Security
  • Data Archival

Strong understanding of healthcare regulatory compliance including HIPAA, PHI, and PII.

Excellent communication, presentation, stakeholder management, and problem-solving skills., * Experience with Microsoft Azure services including:

  • Azure Data Factory
  • Azure Data Lake Storage
  • Azure Purview

Experience with Snowflake.

Experience with Power BI or Tableau.

Experience supporting enterprise healthcare analytics and reporting platforms.

Previous experience working within large healthcare payer or healthcare technology organizations.

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