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Salary
≈ $113k – $223k per year (Estimated)
Location
In office (Chicago)
Seniority
Architect · 8+ years exp
Visa
H-1B filings in 12 months: 281 · for this role: 125 · green card filings: 17

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 21, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

The Data Architect will provide technical expertise in analysis, design, development, rollout and maintenance of enterprise data models and solutions

Provides technical expertise in needs identification, data modelling, data movement and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Essential Duties

  • 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 development of data models.
  • Create and maintain conceptual, logical, and physical data models using best practices to ensure high data quality and reduced redundancy, along with corresponding metadata.
  • Optimise and update logical and physical data models to support new and existing projects.
  • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
  • Organized and rigorous with versioning of documentation and models to ensure consistent delivery and understanding between the client and development team.
  • Recommend opportunities for reuse of data models in new environments.
  • Perform reverse engineering of physical data models from databases and SQL scripts.

Evaluate data models and physical databases for variances and discrepancies.

Oversee organizational data modelling. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance. 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.
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