Data Architect

EXL

. Understand and translate business needs into data models and data architecture supporting long-term solutions .

Posted 9/22/2026full-timeChicago • Illinois • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in data modeling and architecture, with a strong focus on creating and maintaining high-quality data models and documentation. Proven ability to translate business needs into effective data strategies and optimize data flows for organizational alignment.

Highest-signal resume keywords

Data ModelingData ArchitectureSQL ScriptingData Quality ManagementVersioned Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisConceptual Data ModelsLogical Data ModelsPhysical Data ModelsData Flow DevelopmentBest Practices ImplementationRedundancy ReductionMetadata ManagementReverse EngineeringData Strategy Development

Soft Skills

CollaborationExecutive GuidanceOrganizational Alignment

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data Science

Industry Keywords

Data QualityData GovernanceData RedundancyData ManagementData Strategy

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Understand and translate business needs into data models and data architecture supporting long-term solutions
Work with the Application Development team to implement data strategies, build data flows, and develop data models
Create and maintain conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy, with corresponding metadata
Optimise and update logical and physical data models for new and existing projects
Develop best practices for standard naming conventions and coding practices
Maintain versioned documentation and models for consistent delivery and understanding between client and development team
Recommend opportunities to reuse data models in new environments
Reverse-engineer physical data models from databases and SQL scripts
Evaluate data models and physical databases for variances and discrepancies
Oversee organizational data modelling, lead high-impact initiatives, ensure alignment with organizational goals, and provide executive guidance

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Data Science, or a related field
8–12 years of experience in data modelling or data analysis

Benefits

Comp & perks

Hybrid work arrangement