Data Modeler

Data Modeler

Category: Software Development/ Engineering

Main location: United States, Texas, Dallas

Position ID: J0626-0891

Employment Type: Full Time

Position Description:

We are seeking an experienced Data Modeler to join our team. In this role, you will be responsible for designing, developing, and maintaining enterprise data models that support both transactional and analytical platforms within the insurance domain. You will work closely with business stakeholders, Product Owners, Data Architects, and Engineering teams to translate complex business requirements into scalable, high-performing data solutions.

The ideal candidate brings deep expertise in data modeling methodologies, relational database design, enterprise data architecture, and insurance domain processes. This role requires a strong understanding of data lifecycle management, integration patterns, and modern data platforms, along with the ability to influence data standards and best practices across the organization.

This position is located at the client site in Dallas, TX.

Your future duties and responsibilities:

. Design and maintain conceptual, logical, and physical data models for both transactional (OLTP) and analytical (OLAP) systems.

. Develop data models aligned to insurance domains including policy lifecycle (quote, issue, servicing), coverages, premiums, billing, and claims.

. Create and deliver data mapping specifications and transformation logic for large-scale reporting and integration platforms.

. Define and enforce data modeling standards, naming conventions, and best practices across the organization.

. Partner with Product Owners, Data Architects, Engineers, and Business stakeholders to translate requirements into robust data solutions.

. Design canonical and enterprise data models to promote data consistency, reuse, and interoperability across systems.

. Ensure data quality, integrity, and lineage are maintained throughout the data lifecycle.

. Guide engineering teams in assembling large, complex datasets that meet functional and non-functional requirements.

. Optimize data structures for performance, scalability, and maintainability.

. Contribute to data governance efforts, including metadata management, lineage documentation, and stewardship.

. Identify opportunities to modernize legacy data models and drive innovation in design approaches.

. Support Agile delivery by actively participating in sprint planning, design reviews, and backlog refinement.

Required qualifications to be successful in this role:

. Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, Information Systems, or a related field.

. 8+ years of experience in data modeling, database design, or data architecture.

. Strong hands-on experience with:

o Relational databases (Oracle, PostgreSQL, MySQL)

o SQL development and performance tuning

o Data modeling methodologies (Normalization, Kimball, Inmon)

. Proven experience working with:

o Policy Administration Systems (OIPA preferred, or Guidewire/Duck Creek)

o Highly transactional (OLTP) environments

. Expertise in designing:

o Dimensional models (Star/Snowflake schemas)

o Normalized operational models

o Canonical / enterprise data models

o Experience with data modeling tools such as Erwin, SAP PowerDesigner, Hackolade, or equivalent.

. Strong understanding of:

o Data lifecycle (creation to consumption)

o Data integration patterns (ETL/ELT)

o Data warehousing and operational data stores (ODS)

The successful candidate will demonstrate:

. Excellent communication skills including written, verbal, and technology illustrations.

. The desire and aptitude for learning new technologies to solve problems and formulate recommendations.

. A proven track record of working in reciprocal teams to deliver high quality data solutions in an agile environment.

. A fearless approach to challenge the legacy design and seek opportunities to design better models and better code.

. A passion for data analysis with the ability to navigate and master complex transactional and warehouse databases.

. A love working with data and are confident in your SQL skills.

. Technically adept in learning new technologies and architectural methodologies and adapting our practices to support frequent changes in the technical environment.

. A strong interest in playing a technical data steward role and across our business and technology partners to understand and detail our data, appropriate data usages and helping [BU] derive the maximum value from its data.

. The ability to take a broad view of data from creation to consumption and understand how data design patterns affect data quality and the ability of users to easily consume data.

. Experience with cloud native data warehousing and data lake solutions using Snowflake is a plus.

. Exposure to working with a Data Scientist team and knowledge of Feature Engineering is a plus.

. Experience of database design through the full development lifecycle is a plus: from requirements to conceptual, logical and physical data model design and implementation.

Desired qualifications:

. Experience with Insurance Domain Modelling.

. Experience with cloud-native data platforms such as Snowflake, Azure Synapse, or AWS Redshift.

. Exposure data lakes and lakehouse architectures.

. Familiarity with data governance frameworks, data lineage, and metadata tools.

. Experience supporting Data Science / ML teams, including feature engineering concepts.

. Knowledge of insurance regulatory and reporting requirements.

. Experience working with large-scale enterprise data ecosystems.

Other Information:

CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $77,800.00 - $172,400.00.

CGI's benefits are offered to eligible professionals on their first day of employment to include:

. 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

Skills:

• Data Modeling

• Data Warehousing

• erwin Data Modeler

• Guidewire

• Kimball

• Postgre SQL

• SAP PowerDesigner

• Snowflake

• Insurance

What you can expect from us:

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team-one of the largest IT and business consulting services firms in the world.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at View email address on click.appcast.io . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.