About the role
As a Senior Data Modeler, you will make an impact by designing and evolving enterprise data models that enable event-driven architecture, real-time data products, and scalable business capabilities. You will be a valued member of the Enterprise Data Architecture team and work collaboratively with domain subject matter experts, architects, engineers, governance teams, and business stakeholders to deliver reusable and trusted data assets across the organization.
In this role, you will:
- Design and maintain enterprise, domain, event, and consumption models that support real-time business processes and data products.
- Define durable event and data contracts using Domain-Driven Design (DDD) principles, including bounded contexts, aggregates, and domain events.
- Develop conceptual and logical data models that establish consistent business definitions and align data across diverse source systems.
- Partner with engineering and architecture teams to support event-streaming platforms, schema management, state reconstruction, and cross-platform data integration.
- Ensure data quality, governance, lineage, semantic ownership, and lifecycle management standards are embedded throughout the modeling process.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Extensive experience designing data models for event-driven architectures, including business events, event schemas, versioning, ordering, correlation, and idempotency.
- Strong expertise applying Domain-Driven Design concepts to create scalable and reusable data and event contracts.
- Experience developing conceptual, logical, and enterprise data models across complex business domains.
- Hands-on experience with relational and NoSQL data modeling, including historical, temporal, document, key-value, and search-oriented data structures.
- Knowledge of event-streaming platforms, schema registries, change data capture (CDC), and real-time data consumption patterns.
- Experience designing analytical and lakehouse data models and translating operational event data into reporting and analytics structures.
- Ability to model and align domain representations across events, APIs, transactional systems, analytical platforms, and search technologies.
- Strong understanding of data governance, metadata management, lineage, data quality, and contract versioning practices.
- Proven ability to collaborate effectively with business stakeholders, architects, engineers, and governance teams in large enterprise environments.
These will help you stand out
- Experience within the Property & Casualty (P&C) Insurance industry.
- Familiarity with ACORD standards and insurance data structures.
- Experience supporting large-scale enterprise modernization and transformation initiatives.
- Hands-on experience with AWS services and cloud-native data architectures.
- Knowledge of Apache Iceberg, Aurora PostgreSQL, OpenSearch, or Elasticsearch.
- Experience modeling graph-based data structures and relationships.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until November 15, 2026
The annual salary for this position is between $ 115,000 - $ 130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
