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How to create a data modeling resume?

If you are wandering around this question, you are in the right place.

According to, a data modeler’s salary is around $81,500 with a range between $59,000 and $121,000

Because of this lucrative opportunity, the competition to become a data modeler is also at its peak. In this peak competition, if you want to get a job as a data modeler, you should know how to craft a data modeler resume to get the attention of the recruiters.

This blog will tell you everything you need to know about creating a data modeling resume.

Table of Content:

Apart from that, if you want to create another related resume, you can check out our resources given below:

Data modeling Resume Sections

The data modeling resume should be broken down into various sections, and every section should be created with utmost attention.

Here are some of the key sections you should include in the data modeling resume:

  • Header
  • Personal Information
  • Profile Title
  • Summary/Objective
  • Data Modeling Skills
  • Professional Experience
  • Education
  • Certifications (if any)
  • Projects (if any)
  • Training/Workshops (if any)
  • Additional Information (if any)

Read further and understand how to create the sections in a resume:

Data Modeling Resume Header

Data modeling resume header is the first thing a recruiter sees in your resume.

So, you need to make sure that it's catchy and easy to identify.

Here are some tips you can follow to create a perfect resume header:

  • Write your full name instead of writing “Resume” or “CV” in the resume header.
  • If you have a middle name, only write the initial of the middle name in the resume header.
  • Make the font size of the header the largest. Use a font size between 16 - 20 points.
  • When writing your resume header, choose a professional font such as Ariel, Times New Roman, Calibri, etc.

If you wish to get more in-depth information about the resume header, make sure to check out Resume Header Blog

Here is one of the resume header examples for your reference.


Data Modeler Resume: Personal Information

The personal information section in the data modeler resume is one of the essential sections since it contains your contact information. However, this section is often overlooked by many candidates.

**Here are some of the tips to write your personal information in a clear and concise way for the recruiters: **

  • While writing your contact number, add ISD code along with a (+) sign before the ISD code. For example: +91 92839 37483
  • Provide a professional-looking email address. Example:

Do It:

Don't Do It:



  • Do not share your full address in the resume. Instead, write your residential location in the city, country code format for jobs inside your country

  • State, country code format if you are applying for a job outside your country.

  • Since data modeling is a technical profile, add your Linkedin profile, GitHub profile link, or your live projects link in the personal information section.

Here is a sample of the personal information section of a data modeling resume:

Personal Information
Contact Number +1 (376) 6223 111
Email Id
Location Los Angeles,CA

If you have any doubts or want to know more about the resume personal information section, read Hiration's Guide on Contact Information in a resume to get more information.

Here is an example of personal information section in a data modeling resume:


Data Modeling Resume: Professional Experience

A well-crafted professional experience section can dramatically increase your chances of getting an interview.

So, you need to be extra careful when creating a data modeling resume professional experience section.

Here are some points that can help you create a job-winning professional experience for data modeling:

  • Use the reverse chronological format to write the professional experiences in your resume.
  • Do not use paragraphs to describe your skills and achievements. Instead, write them down in single-line bullet formats.
  • Use cause and effect relation to create the bullet points for making them impactful and cohesive.
  • Bold important phrases and statistics on the resume to highlight them in front of the recruiter.
  • Group relevant bullet points under single skills sub-headings for improving readability for the recruiters.

Still, feel confused?

Read our Hiration Professional Experience Section Guide to clear all your doubts and create a stellar professional experience section for data modelers.

Here is a screenshot of the professional experience section of a data modeling resume:


Data Modeling Resume: Education Section

The minimum requirement for becoming a data modeler is to have a bachelor’s degree in computer science or any other equivalent degree.

You need to show the recruiter that you have all the minimum requirements necessary to become a data modeler.

The necessary elements the education section should contain are:

  • Name of the University/School
  • Name of the Degree Course
  • Location of the School/University
  • Enrollment and Graduation data
  • GPA if it’s greater than 3.5

Here is a screenshot displaying how to write the education section in a data modeler resume in detail:


If you want to get more information, read the Hiration's education section guide.

Data Modeler Resume: Certifications

Since data modeling is a competitive market, you need to stay updated about the latest trends to get a high-paying job.

In that case, a certification can help in a big way to show the recruiter that you have all the relevant knowledge about data modeling.

Here are some certifications for data modeling:

  • Amazon Web Services (AWS) Certified Big Data
  • Cloudera Certified Associate (CCA) Administrator
  • EMC Proven Professional Data Scientist Associate (EMCDSA)
  • IBM Certified Data Architect – Big Data
  • MapR Certified Data Analyst 1.9
  • MapR Certified Hadoop Developer 1.0
  • Microsoft Certified Solutions Expert (MCSE)

And here is the best format which you can apply to write the certification section in your resume.

Certificate Name | Certifying Authority | Location | Date

Here is a screenshot of the certificate section in a data modeling resume to help you create a certification section for your resume:


Here is a Hiration guide on certification section to help you understand better

Data Modeling Resume Summary

A resume summary is the first proper content in your resume which can entice the recruiters to read your entire resume. So you need to create a summary section with utmost care.

Here are some tips for writing the resume summary on data modeling resume:

  • If you have 3+ years of experience, use the resume summary, otherwise add a resume objective.
  • Do not use first-person or second-person pronouns in your resume summary.
  • Highlight the most relevant skill of experience in the resume summary and try to wrap up the resume summary within 3-4 sentences.

Here is an example of the Data Modeler resume summary:


Data Modeling Skills Section:

If you can showcase your skill sets in your resume in a clear way, it will help you get noticed by recruiters easily.

And since your profile is technology-oriented, you can divide the skills section into two parts.

  • Key Skills: Include all your core competencies here
  • Technical skills: Include tools and frameworks you are proficient in
Data Modeling Technical Skills
SQL Python
Tableau Java
IHadoop Agile
R Microsoft Office
Excel SSIS
Data Modeling Key Skills
Data Analysis Data Indexing
Data Visualization Data Processing
Issue Resolution Technical Assistance
Process Improvement Customer Servicing
Report Generation Penetration Testing
Stakeholder Management ------------

If you want to know more about how to create the key Skills section in your resume, you can read the **Hiraiton Resume Skills Guide**

Here is a screenshot of data modeling resume key skills section to help you understand it better:


Data Modeling Resume Sample:

Adrienne Rose
Senior Data Modeler
4+ years experienced data modeling professional possessing a prolific track record of creating innovative data models for clients as part of assisting them with data-driven decision making. Adept at converting data packets from SQL to DTS scripts for ensuring universal compatibility. Proficient in addressing client calls and providing technical assistance to clients as part of improving clients' experience.
• Data Modeling • Predictive Analysis • Big Data Analytics • Data Mining • Data Visualization
• Data Backup & Management • Technical Assistance • Prototype Designing • Process Improvement
• Stakeholder Management • Project Management • Client Relationship Management • Strategic Planning
  • Languages: R, Python, SQL, SAS, SSIS, Hadoop, XML
  • System Software: Amazon Web Services, SAP HANA
  • Database: Oracle, MySQL, SQL Server 2005
Sr. Data Modeler
Paragon Financial Services
Start typing, then use the up and down arrows to select an option from the list
    USA based data intelligence service provider ,providing insightful financial insights to 10k+ small businesses in 80+ countries
    Data Modeling & Backup
    • Performed data backups via Litespeed backup systems/week and upgraded entire system environment to SQL server 2005
    • Created 100+ SQL and DTS scripts to parse through clients' data and arranged them to a data repository on a weekly basis
    • Converted 500+ DTS packages to SSIS packages in SQL Server 2005 for ensuring maximum compatibility with clients' systems
    Technical Assistance & Prototype Designing
    • Assisted customer support team to resolve 10+ clients' technical issues daily and generated performance reports for stakeholders
    • Designed prototype of logical data models for consumers and performed gap analysis to identify and mitigate loopholes
    • Developed Enterprise Canonical XML Schema to enable timely implementation of new projects to improve internal process
    Data Modeler
    Shadoworks Technologies
    Start typing, then use the up and down arrows to select an option from the list
      USA based big-data solution provider with 5,000+ employees in 82 countries around the world
      Key Achievement
      • Awarded as "Employee of the Month" among 20 candidates for above & beyond performance

      Data Modeling
      • Coordinating with the development team of 10 to develop conceptual data models for enabling data-driven decision making
      • Aided senior data modeler to update 5+ existing data models via SAP HANA modeling and improved performance by 11%
      Feedback Collection & Call Attendance
      • Collaborated with the lead analyst to establish data coding best practices to ensure consistency and reliability across the board
      • Brainstormed data models for presenting to clients for collecting feedback and implemented them to ensure smooth integration
      • Addressed to 20+ clients' calls daily to troubleshoot and optimize data systems for improving accuracy
      • Identified & recommended process improvement opportunities to the seniors as part of reducing workload by 30%
      Bachelors in Computer Science
      University of New York
      Start typing, then use the up and down arrows to select an option from the list
        • CGPA: 3.7/4.0
        • Honor: summa cum laude
        • Certified Data Architect – Big Data | IBM | New York, NY | Mar '18
        • Volunteer at Live Life Foundation | New York, NY | Jun '19 - Feb '21
        • Organized ~10+ fundraising events for providing food and clothes to at-risk children in Live Life Community Center

        Frequently Asked Questions

        What skills are required for data Modelling?

        The skills required to become a data modeler is quite different from the skills required for a system administrator. They work more on the technical side of the project, whereas, a data modeler work on the logical side of a project.
        Here are the top skills required for data modelling:

        • Concept design
        • Abstract Idea Generation
        • Internal & External Communication
        • SQL Languages
        • Relational Database Management Systems

        How do you write data modeling skills on a resume?

        Create separate sections for “key skills” and include all your skills in that section. Make sure to bold the key skills and avoid using paragraph format in this section. If you have technical skills, create a separate section for your “technical skills” as well.

        What do employers look for in data modeling?

        The ideal data modeler should be highly creative, have analytical thinking abilities, and go-getter attitude. They should effectively evaluate problems and break them down into more minor issues to find solutions.

        Employers see if the candidate can work well under pressure and if they can work on multiple projects without affecting the quality of the work.

        How can I improve my data modeling skills?

        Data modeling is an essential part of any business. And to become a good data modeler, you need to improve your data modeling skills. Here are some techniques to improve data modeling skills:

        • Before starting a project, learn and understand the business requirements thoroughly.
        • Before working on the model, start visualizing the model in your mind. This will help you understand what exactly you want.
        • Don’t start creating a complex data model at first. Start with a simple data model and expand on it to add more complex components.
        • Sort out the required data before creating a model; otherwise, it will generate confusion for you.
        • Calculate your results from data before sending the data model to end-users. It will save you from user disagreement.
        • Cross-check every stage of data modeling to ensure if you are on the right track before going on to the next stage
        • Automate complex processes with the use of coding to improve performance and accuracy

        What is a Data Modeler Job Description?

        Here is a typical job description of a data modeler:

        We are looking for a talented data modeling professional to help us with designing and implementing cloud databases. You will be working with data architects and analysts to implement data modeling solutions to improve the data management system.

        Data Modeler: Roles and Responsibilities

        • Analyzing business data and creating a data model for the organization
        • Evaluating existing databases and create conceptual data models for the organization
        • Modify existing data systems to ensure compatibility across the board
        • Troubleshoot and optimize the existing data system

        The Requirement to Become a Data Modeler:

        • A bachelor’s degree in computer science, information technology, or in any similar field
        • Hands-on experience in physical data modeling
        • Knowledge in mathematical and statistical data analysis
        • Strong communication and presentation skills

        What is the average data modeler salary:

        According to, the hourly average salary of a data modeler is $60.90 per hour.

        Salary of Data Modeler in the United States of America:

        City Salary
        New York, NY $78.41 per hour
        Chicago, IL $74.71 per hour
        San Antonio, TX $69.12 per hour
        Wilmington, DE $61.16 per hour
        Charlotte, NC $58.73 per hour
        Dallas, TX $58.12 per hour
        Pittsburgh, PA $55.48 per hour
        Boston, MA $54.86 per hour

        Key Takeaways

        Here are a few takeaways from our Data modeling Resume:

        • Use the grouping and highlighting method to highlight your skills and accomplishments to the recruiter.
        • If you are an entry-level data modeler, focus more on course modules, projects, volunteer experiences, etc.
        • Always write a resume summary if you have 3+ years of experience in the data modeling field.
        • Make sure to keep the resume under one page even if you have 5+ years of experience.
        • Always use a professional and simple font to write a resume, for example, Ariel, Times New Roman, etc.

        We have tried to cover all the aspects of creating a data modeler resume.

        Go to Hiration resume builder and create a professional resume for yourself. Additionally, reach out to us at and you can get 24/7 professional assistance with all your job & career-related queries.

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