Cynet Systems · 2 months ago
Data Modeler - Remote / Telecommute
Cynet Systems is seeking a Data Modeler to design and maintain data models for enterprise applications. The role involves collaborating with various stakeholders to ensure data integrity and compliance, particularly in a healthcare environment.
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Responsibilities
Design, develop, and maintain logical and physical data models to support enterprise applications
Collaborate with business analysts, architects, and developers to translate business requirements into robust, scalable data structures
Ensure data integrity, normalization, and optimization for performance, reliability, and scalability
Work closely with ETL developers and data engineers to implement data models within enterprise data warehouses, data lakes, and operational systems
Document data models, relationships, business rules, and metadata in alignment with enterprise architecture and compliance standards
Participate in data governance initiatives, ensuring adherence to security, privacy, and compliance requirements, especially for PHI/PII in a healthcare environment
Conduct data profiling, assess source system quality, identify data issues, and define data quality (DQ) rules and transformation logic
Qualification
Required
5+ years of experience in data modeling, data architecture, or database design roles
Strong expertise in data modeling tools such as ERwin, PowerDesigner, or equivalent
Proficiency with SQL-based databases (e.g., Oracle, SQL Server, PostgreSQL)
Solid understanding of data warehousing concepts, dimensional modeling, normalization techniques, and relational data structures
Familiarity with the Azure Cloud platform and modern data architectures including Data Lakes and Enterprise Data Hubs (EDH)
Ability to interpret business requirements and convert them into technical specifications and actionable data model designs
Understanding of API integration and common data exchange formats such as JSON and XML
Excellent communication and collaboration skills for working with cross-functional business and technical teams
Preferred
Experience with healthcare payer data domains such as claims, provider, and member data
Exposure to data governance frameworks and Master Data Management (MDM) solutions
Proficiency in performance tuning, query optimization, and designing high-performance data structures