Senior Data Modeler

About the role

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

Responsibilities

• Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.
• Requirement Analysis: Analyzes data to verify business requirements and design the data models.
• Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversees and governs the expansion of existing data architecture.
• Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.
• Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.
• Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.
• Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.
• Leading and mentoring: Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

Requirements

• Bachelor's degree or advanced degree (where required) with 5+ years of experience in related field. In lieu of degree, 7+ years of experience in related field.
• Preferred Experience:
  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort.
  • Healthcare domain experience preferred especially EHR/Clinical domain.
  • Exposure working on Snowflake platform.
  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.
  • Working experience on ERStudio or similar data modeling tool.
  • Extensive experience of ER and Dimensional modeling concepts.

Qualifications

• Experience with Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis.

Benefits

• Medical, dental, and vision coverage along with numerous health and wellness programs.
• Parental leave and support plus adoption and surrogacy assistance.
• Career development programs and tuition reimbursement for continued education.
• 401k match including an annual company contribution.

Pay

$107,901.00 - $172,642.00

Schedule

Our Hybrid Flex approach is built on presence with a purpose – giving you flexibility to work remotely with intentional in-person connection – that supports a workplace that’s flexible, connected, and future focused.

Where You’ll Work

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in any states listed on this job posting. Onsite expectations will be discussed during the interview process.