Data Modeler

CGIBloomfield, CT
Hybrid

About The Position

CGI is seeking to hire an experienced Data Modeler to support enterprise data design initiatives for a healthcare client. The consultant will translate business and technical requirements into conceptual, logical, and physical data models; develop source to target mappings; and profile data across enterprise platforms. Strong SQL and data warehousing expertise are essential, and healthcare or payer experience is strongly preferred. This position is located on-site in Bloomfield, CT (Preferred), Lafayette, LA in a Hybrid working Model.

Requirements

  • At least 6-10 years of experience as a Data Modeler
  • Demonstrated experience in data modeling and database design, including conceptual, logical, and physical models.
  • Hands on experience developing and documenting source to target mappings.
  • Hands on experience with Erwin Data Modeler.
  • Strong data analysis and profiling skills, including the ability to identify and communicate data quality issues.
  • Advanced SQL skills and practical experience working with data warehouse environments.
  • Strong SQL and data warehousing expertise are essential, and healthcare or payer experience is strongly preferred.
  • Ability to translate business and technical requirements into clear, implementable data designs and documentation.
  • Bachelor's degree in computer science or related field.

Nice To Haves

  • Healthcare or payer data experience.
  • Hands on experience with Erwin Data Modeler.
  • Familiarity with enterprise data governance practices, metadata, and modeling standards.

Responsibilities

  • Design, document, and maintain conceptual, logical, and physical data models for enterprise data initiatives.
  • Develop and validate source to target mappings for data integration, migration, and transformation efforts.
  • Profile source data to assess structure, completeness, consistency, and data quality issues.
  • Write and optimize SQL for data analysis, validation, reconciliation, and warehouse environments.
  • Collaborate with data architects, engineers, subject matter experts, and business stakeholders to translate requirements into scalable data designs.
  • Maintain model documentation, definitions, and standards to support shared understanding and traceability.
  • Contribute to enterprise data governance, design reviews, and continuous improvement activities.

Benefits

  • Competitive compensation
  • Comprehensive insurance options
  • Matching contributions through the 401(k) plan and the share purchase plan
  • Paid time off for vacation, holidays, and sick time
  • Paid parental leave
  • Learning opportunities and tuition assistance
  • Wellness and Well-being programs
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