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Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Data Product Architect

Morrisville, NC · On-site

$145K - $155K/yr

You will design scalable data models, build robust data pipelines, and explore cutting‑edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise business definitions across the organization. * Develop validated, traceable ...

Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise business definitions across the organization. * Develop validated, traceable ...

Data Engineer

Durham, NC

$110K - $132K/yr

Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise business definitions across the organization. * Develop validated, traceable ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise business definitions across the organization. * Develop validated, traceable ...

Data Engineer

Durham, NC · On-site

$103K - $124K/yr

Develop and implement dimensional data models, semantic models and governed datasets based on the established enterprise business definitions across the organization. * Develop validated, traceable ...

Collaborate with Survey Project Managers and field crews to integrate weekly as-built survey data ... Maintain model version control, file structure, and project documentation standards. * Assist in ...

Designs data modeling processes to create algorithms and predictive models. Performs custom analysis. Uses modelling to drive business results with data-based insights and tests the effectiveness of ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Support the design and enhancement of enterprise data models and data architecture. * Collaborate with BI developers to provide optimized datasets for Power BI reporting and semantic models.

Data & Analytics Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery. Work you'll do/Responsibilities As data & analytics engineer, you will ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Participate in data modeling and database design. . Develop and support data solutions within AWS cloud environments. . Support migration and modernization of on-premises applications and data ...

Showing results 21-40

Data Modeler information

See Raleigh, NC salary details

$10

$57

$80

How much do data modeler jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data modeler in Raleigh, NC is $57.07, according to ZipRecruiter salary data. Most workers in this role earn between $51.15 and $66.35 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are the key skills and qualifications needed to thrive as a data modeler?

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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 specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are the most commonly searched types of Data Modeler jobs in Raleigh, NC?

The most popular types of Data Modeler jobs in Raleigh, NC are:

What are popular job titles related to Data Modeler jobs in Raleigh, NC?

For Data Modeler jobs in Raleigh, NC, the most frequently searched job titles are:

What cities near Raleigh, NC are hiring for Data Modeler jobs?

Cities near Raleigh, NC with the most Data Modeler job openings:

Infographic showing various Data Modeler job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $118,713 per year, or $57.1 per hour.

Data Product Architect

Morrisville, NC • On-site

NetApp
IT Services • 10K+ employees

$145K - $155K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 20 hours ago


NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

Job Summary

NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision‑making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).

You will design scalable data models, build robust data pipelines, and explore cutting‑edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision‑making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.

At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.

Key Responsibilities
  • Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.
  • Construct, enhance, and assess data pipelines to produce reliable, production‑ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.
  • Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision‑making processes.
  • Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross‑functional teams to deliver effective data‑driven outcomes.
  • Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.
Job Requirements
  • Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.
  • At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
  • A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise‑level reporting.
  • Proficient in Git‑based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.
  • At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.
  • Outstanding written and verbal communication and presentation skills.
  • Strong analytical thinking and problem‑solving capabilities.
  • Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.
  • Demonstrated ability to work seamlessly within cross‑functional teams and to influence stakeholders.
Preferred Certifications
  • Snowflake: Snowflake SnowPro Core Certification
  • TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification
  • Power BI: Microsoft Certified: Power BI Data Analyst Associate
  • Additional relevant industry certifications are highly welcomed.
Education

Bachelor’s degree in computer science or management information systems.

Minimum of five years of experience is required; 5 to 8 years of experience is preferred, including three or more years in Business Analytics or relevant domains.

Compensation

The target salary range for this position is $145,000-$155,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in‑office and/or in‑person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You’ll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise‑grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

AI Disclosure

For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision‑making.

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About NetApp

Sourced by ZipRecruiter

The NetApp portfolio of leading data, application, and storage solutions helps organizations manage applications and data everywhere across hybrid multicloud environments. Our 30 years of innovation have made us the proven leader in all-flash storage. We have the only enterprise-grade storage OS available natively on the world’s biggest public clouds. Our data services offer the best security and protection in the industry. We have CloudOps services that will revolutionize how you work in the cloud. And that’s just scratching the surface. In a world of hybrid multicloud complexity, we envision a better IT experience—an evolved cloud state where on-premises and cloud environments are united as one, always delivering simplicity, security, savings, and sustainability. To get you there, we build solutions that drive faster innovation wherever your data and applications live, with unified management and AI-driven optimization. No walled gardens. No lock-in. You get the freedom to do what’s best for your business today and the flexibility to adapt to whatever tomorrow throws at you.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Sunnyvale, CA, US