Senior Data Modeler

Date:  Nov 14, 2023

Bangalore, KA, IN, 560100

Req ID:  19802



As a Senior Data Modeler at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Your role in our mission


  • Apply healthcare domain knowledge to understand the data from various source systems and align the data to platform’s integration model.
  • Work with Business, Architects and System Analysts to fully understand the business requirements and translate them into Conceptual, Logical and Physical models.
  • Deliver high quality normalized and/or star schema models that will address strategic vision and goals of the platform.
  • Partner with development and QA teams to communicate the business rules, data models and ensure test cases target the quality and integrity of the data model.
  • Participate in regular model reviews, provide constructive feedback that will lead to higher quality models. 
  • Maintain superior quality metadata across all models.
  • Assists in providing time estimates for project-related tasks.

What we're looking for



  • At least 8 years of Data Modelling experience, with minimum of 4 years in US healthcare.
  • Good in Conceptual Model, Logical Model, Physical Model.
  • Good in Data modelling tools like – ERWIN, ER Studio etc.
  • Must have experience in interaction with business stakeholders, gathering requirements and translating them into data models.
  • Excellent Analytical ability and business acumen to collect multiple sources of data and draw conclusions.

Desired Skills


  • Candidate with US Healthcare experience or knowledge preferred.
  • HL7 / FHIR hands on exposure.
  • Strong SQL skills.
  • Looking for someone who takes ownership of the work assigned and believes that quality is result of intelligent effort.
  • Presentation skills to present to management and customers.
  • Ability to work independently and as part of a team.

Work Environment


  • Work life balance.    
  • Hybrid Office environment.
  • Will require late evening work to overlap US work hours.