Data Architect

Posted 43 Minutes Ago
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Chicago, IL, USA
Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Designs and oversees organizational data architecture and conceptual, logical, and physical data models. Translates business requirements into scalable data solutions, develops data flows and modeling standards, maintains metadata and documentation, evaluates databases for discrepancies, and identifies model reuse opportunities. Partners with application development teams and provides executive guidance on high-impact data initiatives aligned with organizational goals.
Summary Generated by Built In

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.

ResponsibilitiesOversee organizational data modelling. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance. QualificationsBachelor'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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field
  • 8-12 years of experience in data modeling or data analysis
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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