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Cognizant

Data Modeler – Telecom Data & Information Architecture

Washington, DC, United States

$120,000 to $135,000 USD / year · Full-time

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Job details

Pay: $120,000 to $135,000 USD / year
Job type: Full-time
Posting language: English
Posted: Nov 13, 2026

Original job description

Data Modeler – Telecom Data & Information Architecture (Remote)

Location: United States (Remote)

Employment Type: Full-Time

About Cognizant

Cognizant is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile, and innovative organizations.

Our Data, AI, and Cloud practice helps organizations build modern data foundations that support advanced analytics, artificial intelligence, digital transformation, and operational excellence. We partner with industry leaders to develop scalable data architectures, enterprise data models, governance frameworks, and intelligent data platforms that enable better business decisions and innovation.

Role Overview

Cognizant is seeking an experienced Data Modeler to support the design and development of scalable telecom data models that serve as the foundation for analytics, reporting, AI, and operational use cases.

In this role, you will work closely with Telecom Subject Matter Experts and Data Engineering teams to translate complex business concepts into standardized conceptual, logical, and physical data models. You will play a key role in defining telecom entities, business relationships, hierarchies, and data structures while ensuring models are implementation-ready for enterprise-scale data platforms.

The ideal candidate will have strong expertise in data modeling, metadata management, business analysis, and telecommunications data domains, along with experience validating data models using synthetic and representative datasets.

Work Model

This position is fully remote within the United States , offering flexibility while collaborating with business, domain, architecture, and engineering teams across multiple locations.

Occasional travel may be required for workshops, planning sessions, or strategic stakeholder meetings.

Key Responsibilities

Enterprise Data Modeling

Develop and maintain:
Conceptual Data Models
Logical Data Models
Physical Data Models
Design scalable data models aligned with business, architecture, analytics, and AI requirements.
Define and document:
Entities
Attributes
Relationships
Hierarchies
Business Rules
Keys and Constraints
Ensure consistency across subject areas and enterprise data domains.

Telecom Domain Modeling

Partner closely with Telecom Domain Experts to understand:
Business Processes
Service Lifecycles
Customer Data Structures
Product Hierarchies
Operational Workflows
Network Data Relationships
Translate telecom business concepts into standardized enterprise data structures.
Define reusable data models supporting operational and analytical use cases.
Support development of enterprise information architecture standards.

Synthetic Data Design & Validation

Collaborate with Data Engineering teams to create representative synthetic datasets.
Define fabricated data scenarios that accurately represent business conditions and use cases.
Validate:
Data Structures
Relationships
Business Rules
Data Types
Cardinality
Hierarchy Logic
Use synthetic data testing to refine and improve data models before production data availability.
Support iterative model validation and enhancement activities.

Data Mapping & Transformation Analysis

Map source data structures to target enterprise data models.
Identify:
Data Gaps
Data Quality Issues
Transformation Requirements
Standardization Opportunities
Data Inconsistencies
Collaborate with engineering teams to ensure successful implementation of target-state models.
Support source-to-target mapping and transformation documentation efforts.

Analytics & AI Readiness

Design models that support:
Business Intelligence
Reporting
Advanced Analytics
Machine Learning
AI & GenAI Use Cases
Ensure models support scalability, reusability, and future business requirements.
Partner with architecture and data engineering teams to align data structures with enterprise AI initiatives.

Metadata & Documentation Management

Create and maintain:
Data Dictionaries
Business Glossaries
Metadata Definitions
Mapping Documents
Data Standards
Model Documentation
Maintain traceability between business requirements and data structures.
Ensure documentation reflects current-state and target-state architectures.

Collaboration & Governance

Work closely with:
Telecom Domain SMEs
Data Engineers
Architects
Business Analysts
Analytics Teams
AI Teams
Participate in data governance and architecture review processes.
Support data standardization and enterprise data management initiatives.
Contribute to long-term information architecture strategies and best practices.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline, or equivalent experience.
Proven experience as a:
Data Modeler
Information Architect
Data Architect
Enterprise Data Analyst
Strong expertise developing:
Conceptual Data Models
Logical Data Models
Physical Data Models
Experience defining:
Entities
Relationships
Business Rules
Hierarchies
Metadata Structures
Strong understanding of:
Data Modeling Methodologies
Normalization Techniques
Dimensional Modeling
Information Architecture
Experience performing:
Data Mapping
Gap Analysis
Data Validation
Metadata Management
Strong documentation and analytical skills.
Excellent communication and stakeholder collaboration abilities.

Preferred Qualifications

Telecommunications industry experience.
Knowledge of telecom business domains including:
Customer Management
Product Management
Service Management
Network Operations
Billing Systems
Order Management
OSS/BSS Platforms
Experience designing synthetic datasets for validation and testing purposes.
Familiarity with enterprise data governance frameworks.
Experience supporting analytics, AI, machine learning, or data modernization initiatives.
Knowledge of TM Forum standards, SID models, or telecom reference architectures.
Experience working in cloud-based data environments.

Domain Expertise

Candidates should demonstrate knowledge in:

Data Modeling
Information Architecture
Telecom Data Domains
Metadata Management
Enterprise Data Architecture
Data Governance
Data Quality
Source-to-Target Mapping
Data Transformation
Analytics Enablement
AI & Machine Learning Data Foundations
Business Glossaries
Data Dictionaries
OSS/BSS Concepts
Enterprise Reporting

Salary and Other Compensation

The annual salary for this position is anticipated to be between $120,000 and $135,000 USD , depending on experience, qualifications, geographic location, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

Annual performance-based bonus
Merit-based compensation increases
Employee referral bonuses, where applicable

The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

Medical, Dental, and Vision Insurance
Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
Life Insurance and AD&D Coverage
Short-Term and Long-Term Disability Insurance
Paid Time Off (PTO) and Company Holidays
401(k) Plan with Company Contributions (subject to eligibility)
Employee Stock Purchase Plan (where available)
Employee Assistance Program (EAP)
Parental Leave and Family Care Benefits
Tuition Reimbursement and Professional Development Programs
Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

Help design the enterprise data foundation for next-generation telecom solutions.
Work on high-impact initiatives supporting analytics, AI, and digital transformation programs.
Collaborate with experienced architects, domain experts, and engineering leaders.
Shape scalable enterprise information models used across critical business capabilities.
Access industry-leading learning and professional development opportunities.
Join a global organization committed to innovation, data-driven transformation, and client success.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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More about this job

Skills

Information architecture
Data models
Reporting
Data engineering
Data modelling
Business analysis
Business processes
Documentation
Business intelligence
Machine learning
Collaboration
Google Analytics
Microsoft Teams
Data management
Computer science
Analytical skills
Communication skills
Telecommunication industry
BSS

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Jobs in the United States