Negotiable
Outside
Remote
USA
Summary: The role of Data Modeler/Data Architect focuses on leveraging extensive experience in data modeling within the healthcare domain, specifically utilizing IBM UDMH. The position requires strong SQL skills and familiarity with healthcare data standards, alongside effective communication with stakeholders. The role can be performed remotely or from St. Louis, Missouri, and is classified as outside IR35.
Key Responsibilities:
- Utilize 12+ years of experience as a Data Modeler or Data Architect.
- Implement IBM UDMH in a healthcare environment.
- Employ ER modeling tools effectively.
- Demonstrate strong SQL skills and understanding of relational, dimensional, and normalized modeling techniques.
- Work with healthcare data standards (HL7, FHIR, ICD, CPT, etc.).
- Apply knowledge of data warehousing concepts and ETL processes.
- Communicate effectively with business and technical stakeholders.
Key Skills:
- 12+ years of experience as a Data Modeler or Data Architect.
- Strong hands-on experience with IBM UDMH in a healthcare environment.
- Expertise in ER modeling tools.
- Strong SQL skills.
- Understanding of relational, dimensional, and normalized modeling techniques.
- Experience with healthcare data standards (HL7, FHIR, ICD, CPT, etc.).
- Familiarity with data warehousing concepts and ETL processes.
- Strong communication skills.
- Experience with cloud data platforms (Azure, Google Cloud Platform) is a plus.
- Exposure to big data ecosystems (Hadoop, Spark) is a plus.
- Data governance and master data management (MDM) experience is a plus.
Salary (Rate): undetermined
City: St. Louis
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Job Role - Data Modeler/ Data Architect (Healthcare Domain)
Location - St Louis, MO(Remote)
Job Details:
"Required Skills & Experience:
12+ years of experience as a Data Modeler or Data Architect.
Strong hands-on experience with IBM UDMH in a healthcare environment.
Expertise in ER modeling tools .
Strong SQL skills and understanding of relational, dimensional, and normalized modeling techniques.
Experience with healthcare data standards (HL7, FHIR, ICD, CPT, etc.) is a plus.
Familiarity with data warehousing concepts and ETL processes.
Strong communication skills for working with business and technical stakeholders.
Nice-to-Have:
Experience with cloud data platforms (Azure, Google Cloud Platform).
Exposure to big data ecosystems (Hadoop, Spark).
Data governance and master data management (MDM) experience."