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Data Modeling Jobs in Chicago, IL (NOW HIRING)

Senior Data Architect

Chicago, IL · On-site

$150K - $175K/yr

Enterprise Data Architecture & Modeling * Lead development of conceptual, logical, and physical data models for enterprise initiatives. * Maintain data standards, naming conventions, and reusable ...

Data Engineer

Bridgeview, IL

$116K - $140K/yr

Define and enforce standards for data modeling, naming conventions, schema design, and performance optimization. * Evaluate and recommend tools, technologies, and architectural patterns that align ...

Data Engineer

Bridgeview, IL

$116K - $140K/yr

Define and enforce standards for data modeling, naming conventions, schema design, and performance optimization. * Evaluate and recommend tools, technologies, and architectural patterns that align ...

Data Modeling & Design: Create and maintain physical databases, dimensional data models, schemas, and data dictionary documentation. Guide and oversee data modeling process, technologies, and ...

Data Engineer

Bridgeview, IL · On-site

$116K - $140K/yr

Define and enforce standards for data modeling, naming conventions, schema design, and performance optimization. * Evaluate and recommend tools, technologies, and architectural patterns that align ...

Data Architect

Chicago, IL · On-site

$167K - $196K/yr

Expertise in data modeling, ETL processes, and data pipeline development. * Extensive experience with modern data platforms: Databricks and/or Snowflake preferred * Experience with data modeling and ...

Responsibilities : • Own the architecture, design, and lifecycle of enterprise semantic models, with an emphasis on Finance-aligned data products • Partner closely with Finance, Accounting, and ...

Data Engineer

Chicago, IL · Hybrid

$118K - $141K/yr

Familiarity with data modeling design concepts such as 3rd-normal form or denormalization modeling concepts such as star-schema * Exposure to batch orchestration tools such as Apache Airflow, Dagster ...

Snowflake Data Engineer

Chicago, IL

$118K - $141K/yr

Expert-level knowledge of SQL and dimensional data modeling techniques. Mastery of Python for data manipulation, automation, and API integrations. Extensive experience with enterprise-grade ...

Sr. Data Analyst

Chicago, IL · Remote

$88K - $111K/yr

Data modeler/analyst must have strong knowledge of star schema and snow flake schema * Data modeler/analyst must have good experience in rational database systems and architecture. * Data modeler ...

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Data Modeling information

See Chicago, IL salary details

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How much do data modeling jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for data modeling in Chicago, IL is $60.48, according to ZipRecruiter salary data. Most workers in this role earn between $54.23 and $70.34 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

What are the key skills and qualifications needed to thrive in the Data Modeling position, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
What are the most commonly searched types of Data Modeling jobs in Chicago, IL? The most popular types of Data Modeling jobs in Chicago, IL are:
What are popular job titles related to Data Modeling jobs in Chicago, IL? For Data Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Modeling jobs in Chicago, IL look for? The top searched job categories for Data Modeling jobs in Chicago, IL are:

Senior Data Architect

Hightower

Chicago, IL • On-site

$150K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

Our Story
Founded in 2008, Hightower is a wealth management firm that provides investment, financial and retirement planning services to individuals, foundations and family offices, as well as 401(k) consulting and cash management services to corporations. Hightower's capital solutions, operational support services, size and scale empower its vibrant community of independent-minded wealth advisors to grow their businesses and help their clients achieve their financial vision. Based in Chicago with advisors across the U.S., we operate as a registered investment advisor (RIA).
Your Future Team
As a Senior Data Architect, you will design and evolve Hightower's enterprise data ecosystem, leading initiatives in data modeling, Master Data Management (MDM), and data standards development. You will play a key role in implementing cloud-scale architecture and advancing our Collibra Intelligence Platform, including workflows, lineage, and metadata management. Additionally, you will operationalize Collibra Unified Data Quality (UDQ) to ensure data accuracy, consistency, and trust across the organization. This position requires close collaboration with business and technology teams to align data strategies with enterprise goals while serving as a technical leader and advisor on governance and best practices.
What You'll Do
Strategy & Planning
  • Define and implement long-term data architecture vision, standards, and governance.
  • Develop short-term tactical solutions aligned with strategic objectives.
  • Oversee metadata management and ensure accuracy.
  • Establish processes for monitoring and improving data quality.
  • Plan for data capacity, lifecycle, security, backup, disaster recovery, and compliance.

Enterprise Data Architecture & Modeling
  • Lead development of conceptual, logical, and physical data models for enterprise initiatives.
  • Maintain data standards, naming conventions, and reusable design patterns.
  • Define canonical models across key data domains.
  • Translate business requirements into scalable, high-performance data models.
  • Ensure compliance with governance and regulatory requirements.

Data Governance, MDM & Collibra
  • Drive Master Data Management strategy for consistent, governed data.
  • Operationalize Collibra platform for glossary, workflows, lineage, and stewardship.
  • Implement Collibra Unified Data Quality with automated monitoring and exception handling.
  • Integrate DBT with Collibra and Snowflake for transparency and alignment.

Data Engineering & Integration
  • Collaborate with engineering teams to optimize physical data structures.
  • Support integration of financial systems, CRM, trading platforms, and third-party data sources.

Leadership & Collaboration
  • Develop and execute enterprise data architecture roadmap.
  • Advise business and technical leaders on best practices.
  • Mentor team members in modeling and governance.
  • Communicate complex data concepts to diverse audiences.

What You'll Bring
  • Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
  • 8+ years of experience in data architecture, enterprise data modeling, or data engineering.
  • Expertise in conceptual, logical, and physical data modeling, including normalization and dimensional modeling.
  • Proven track record implementing enterprise data standards, frameworks, and reusable design patterns.
  • Hands-on experience with Collibra platform (workflow design, cataloging, lineage, glossary, metadata models).
  • Deep knowledge of Collibra Unified Data Quality (UDQ), including automated rules and anomaly detection.
  • Strong background in Master Data Management (MDM) and governance processes.
  • Proficiency in SQL and cloud platforms (Azure, AWS, or GCP) with modern ELT/ETL tools.
  • Experience with financial or wealth management data preferred.
  • Exceptional communication, documentation, and stakeholder management skills.

Personal Attributes
  • Strong presentation and interpersonal abilities.
  • Demonstrated leadership, influence, and collaboration skills.

What We Offer
  • Coverage on the first day of employment for medical, dental, and vision insurance
  • Paid parental leave (16 weeks for primary caregiver and 8 weeks for secondary caregiver)
  • Mother's lounge onsite
  • Flexible PTO plan
  • Hybrid work schedule (Monday- Thursday onsite, Fridays remote)
  • Free brand-new gym in the Chicago office
  • 401k matching plan
  • HSA employer contributions
  • Student loan assistance
  • Pet insurance
  • Base salary of $150,000-$175,000 plus discretionary bonus (exact base salary amount will be dependent on experience)

AN EQUAL OPPORTUNITY EMPLOYER:Hightower is an equal opportunity employer and does not discriminate based upon race, color, religion, sex, sexual orientation, pregnancy, marital status, national origin, citizenship, veteran status, ancestry, age (over 40), physical or mental disability, medical condition (cancer-related), gender identity or expression, genetic information including sickle cell or hemoglobin C trait, or any other consideration made unlawful by applicable federal, state, or local law.
You are a U.S. citizen, U.S. permanent resident or possess other unrestricted U.S. work authorization and will not require sponsorship for U.S. work authorization now or anytime in the future.