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Data Designer Jobs (NOW HIRING)

Experience designing enterprise semantic models and supporting Power BI. * Knowledge of MDM, PK/FK design, referential integrity, and data governance. * Experience with Lucidchart, ERwin, ER/Studio ...

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How much do data designer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data designer in the United States is $40.70, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $52.88 per hour, depending on experience, location, and employer.

What is a data designer?

Data Designers are professionals who specialize in structuring, visualizing, and presenting data in ways that make it easier to understand and use. They combine technical skills in data modeling and management with creative abilities in data visualization to help organizations make informed decisions. Data Designers often work closely with data scientists, analysts, and stakeholders to ensure that data is both accurate and accessible. Their work can include creating dashboards, designing data flows, and developing interactive reports.

How does a data designer typically collaborate with data engineers and business analysts during a project?

Data Designers play a pivotal role in bridging the gap between technical and business teams. They often work closely with data engineers to ensure that data models are both technically feasible and scalable, while also collaborating with business analysts to translate business requirements into effective data structures. This collaborative process involves frequent meetings to review data flows, refine data schemas, and ensure alignment on project goals. By maintaining open communication, Data Designers help create data solutions that are robust, user-friendly, and support informed business decision-making.

What are the key skills and qualifications needed to thrive as a data designer, and why are they important?

To thrive as a Data Designer, you need a solid background in data modeling, database design, and information architecture, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ER/Studio, Tableau, and data visualization platforms, along with knowledge of data governance frameworks, is commonly required. Strong analytical thinking, attention to detail, and effective communication skills help bridge technical requirements with business needs. These qualifications are crucial for creating scalable, efficient data structures that drive informed decision-making and organizational success.

What is the difference between Data Designer vs Data Analyst?

AspectData DesignerData Analyst
Required CredentialsBachelor's degree in Data Science, Computer Science, or related field; certifications in data modeling or database designBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentDesigning data models, creating database schemas, collaborating with data engineersAnalyzing data sets, generating reports, interpreting data trends
Employer & Industry UsageUsed in data architecture, database development, and system design teamsUsed across business intelligence, marketing, finance, and operations teams

Data Designers focus on creating the structure and architecture of data systems, while Data Analysts interpret and analyze data to support decision-making. Both roles require strong technical skills but serve different functions within data management and analysis processes.

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Cities with the most Data Designer job openings:

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What are popular job titles related to Data Designer jobs?

For Data Designer jobs, the most frequently searched job titles are:

Infographic showing various Data Designer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $84,648 per year, or $40.7 per hour.

Senior Fabric OneLake Data Modeler

La Mirada, CA โ€ข On-site

Neshent Technologies
11 - 50 employees

Full-time

Posted 27 days ago


Job description

We are seeking a Senior Fabric OneLake Data Modeler with strong experience in enterprise data modeling, analytical data warehousing, Microsoft Fabric, OneLake, and modern data architecture.

Required Skills
  • 8+ years of enterprise data modeling experience.
  • 5+ years of analytical data warehouse design experience.
  • Strong hands-on experience with Microsoft Fabric and OneLake.
  • Experience with Medallion Architecture and Corporate Information Factory methodologies.
  • Strong SQL and dimensional modeling skills.
  • Experience designing enterprise semantic models and supporting Power BI.
  • Knowledge of MDM, PK/FK design, referential integrity, and data governance.
  • Experience with Lucidchart, ERwin, ER/Studio, or equivalent modeling tools.
Roles & Responsibilities
  • Design and maintain conceptual, logical, and physical enterprise data models.
  • Define facts, dimensions, hierarchies, metrics, relationships, and business entities.
  • Develop reusable canonical data models across enterprise domains.
  • Establish data modeling standards, naming conventions, grain definitions, and metadata practices.
  • Design and govern data models aligned with Fabric, OneLake, and Medallion Architecture.
  • Review and approve data designs and ensure adherence to enterprise standards.
  • Facilitate data modeling workshops and collaborate with Architects, Data Engineers, BI teams, and business stakeholders.
  • Maintain model documentation, governance, and enterprise data standards.
  • Coach Data Engineers and junior team members on data modeling best practices.
  • Support Power BI, semantic models, self-service analytics, AI solutions, and governed reporting.