Note: The job is a remote job and is open to candidates in USA. Dice is seeking a Healthcare Data Architect to implement large scale Data Management and Analytics solutions for healthcare clients. The role requires strong expertise in healthcare data security standards and various data modeling techniques.

Responsibilities

• Complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client
• Strong knowledge of regulatory security requirements regarding HIPPA, PHI, PII, and other health care data security standards
• Strong Healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets
• Expertise with normalized OLTP, OLAP, MDM and Dimensional modeling techniques, Star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification
• Expert level SQL skills with direct experience writing complex analytic queries, stored procedures, DDL, DML and DCL
• Thorough knowledge of query optimization techniques with the ability to write code to ANSI standards and inspect code written by other developers
• Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools

Skills

• Complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client
• Strong knowledge of regulatory security requirements regarding HIPPA, PHI, PII, and other health care data security standards
• Strong Healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets
• Expertise with normalized OLTP, OLAP, MDM and Dimensional modeling techniques, Star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification
• Expert level SQL skills with direct experience writing complex analytic queries, stored procedures, DDL, DML and DCL
• Thorough knowledge of query optimization techniques with the ability to write code to ANSI standards and inspect code written by other developers
• Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools
• Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.)
• Experience with Snowflake DBMS
• Experience with PowerBI or Tableau

Company Overview

Company H1B Sponsorship