Data Modeling Salary Overview

Salaries for data modelers vary based on experience, location, industry, and certifications such as CDMP or similar. Highly skilled modelers in tech hubs or specialized industries can command top salaries.

National Average: $70,000 - $130,000 per year

Entry Level $70K
Mid Level $90K
Senior $110K
Specialized/Lead Role $125K
Manager/Director $140K

Experience-Based Salary Ranges

Entry Level (0-2 years)

$70,000 - $85,000

Mid Level (3-5 years)

$85,000 - $105,000

Senior Level (6-9 years)

$105,000 - $125,000

Manager/Director (10+ years)

$125,000 - $150,000+

Entry Level (0-2 years)

  • Basic understanding of data modeling concepts
  • Experience with SQL and database management
  • Familiarity with data warehousing
  • Knows basic ERD tools

Mid Level (3-5 years)

  • Proficient in data modeling tools like ER/Studio
  • Experience in data integration and ETL processes
  • Capability to work with large-scale data systems
  • Understands data governance and quality

Senior Level (6-9 years)

  • Expertise in complex data models
  • Leadership in data architecture projects
  • Mentors junior data modelers
  • Interacts with business stakeholders

Manager/Director (10+ years)

  • Oversees data strategy and architecture
  • Leads cross-functional data initiatives
  • Advanced knowledge of emerging data technologies
  • Significant business acumen

Regional Salary Variations

Geography significantly influences data modelers' salaries, with urban and tech-centric areas typically offering higher compensation due to demand and cost of living.

New York City

$85,000 - $140,000

San Francisco

$95,000 - $150,000

Chicago

$80,000 - $130,000

Los Angeles

$85,000 - $135,000

Dallas

$75,000 - $120,000

Atlanta

$70,000 - $115,000

Phoenix

$70,000 - $110,000

Remote (US-based)

$75,000 - $125,000

  • High salaries in SF and NYC correlate with higher living costs
  • Midwestern cities offer competitive salaries with lower living expenses
  • Remote roles provide flexible living location options
  • Cost of living adjustments may apply to remote roles

Industry Salary Comparison

Data modeling salaries can vary widely across industries, with financial services and technology companies typically offering the highest compensation due to the critical role of data in these sectors.

Industry Salary Range Bonus/Equity Growth Potential
Financial Services $90,000 - $150,000 High Very Good
Healthcare $80,000 - $130,000 Moderate Good
Technology $95,000 - $160,000 High Very Good
Retail $70,000 - $110,000 Low Stable
Manufacturing $75,000 - $115,000 Moderate Stable

Job Outlook and Career Growth

With the increasing reliance on data-driven decision-making, the demand for skilled data modelers continues to grow. The integration of AI and machine learning further enhances the need for sophisticated data models.

  • Growing demand in healthcare and finance industries
  • Increased focus on data privacy and security
  • Adoption of cloud-based data solutions

Salary Negotiation Tips

Negotiating a salary can be daunting, but preparation and strategy can lead to successful outcomes. Here are some tips to ensure you are well-equipped for negotiation.

Preparation Strategies

  • Research Market Rates

    Understand the average salary for your role and experience in your region.

  • Know Your Worth

    Highlight your skills, experiences, and certifications that add value.

  • Prepare Evidence

    Compile examples of your successful projects and contributions.

  • Set a Range

    Determine your salary range based on research and personal needs.

During Negotiation

  • Be Confident

    Clearly communicate your expectations and back them with facts.

  • Listen Actively

    Understand the employer's constraints and negotiate accordingly.

  • Consider Benefits

    Factor in non-monetary benefits like flexible work arrangements.

  • Be Open to Compromise

    Show willingness to negotiate perks if salary flexibility is limited.

  • Follow Up

    Send a thank-you note reiterating your interest and confirming terms.