Data Architect
exl serviceChicago (IL)
About the role
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.
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.
Oversee organizational data modelling. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.
Full time
Posting Date: 2026-09-21
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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