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Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Pentair

Data Architect

Apex, NC · On-site

$110K - $205K/yr

Define unified data models across devices, services, and cloud platforms. * Establish standards for communication protocols, messaging structures, and API patterns. * Create best practices for edge ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... data models in a financial services environment. Or, alternatively,Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field(or foreign ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics. * Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ...

Fidelity Investments

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... data models in a financial services environment. Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or ...

Duke University

AI Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Solid understanding of data modeling approaches (e.g., dimensional modeling, star schema, data vault). Preferred Qualifications * Experience supporting AI and ML data workloads , including ...

Duke University

AI Data Engineer

Durham, NC · Hybrid

$110K - $132K/yr

Solid understanding of data modeling approaches (e.g., dimensional modeling, star schema, data vault). Preferred Qualifications * Experience supporting AI and ML data workloads , including ...

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Work with the extended data team to define, develop, and maintain shared data models and definitions. Qualifications * Minimum of 3 years of experience as a Data Engineer, working with cloud ...

DPR Construction

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Work with the extended data team to define, develop, and maintain shared data models and definitions. Qualifications * Minimum of 3 years of experience as a Data Engineer, working with cloud ...

IT Labs

Lead Data Engineer

Raleigh, NC · Remote

$117K - $140K/yr

Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance. * Collaborate with business stakeholders, analysts, and engineering teams to translate business ...

New

Kognitiv Edge

Data Engineer II

Durham, NC · On-site

Assistin the design and maintenance of data models, schemas, and storage architectures that support analytics and operational needs. * Support data governance initiatives, including metadata ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Data Modeling and Database Design: * Proficiency in designing and implementing relational and non-relational databases. * Knowledge of data modeling techniques and tools. Azure Data Services: * Deep ...

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All JobsData Modeler JobsData Modeler Jobs in Raleigh, NC

Data Modeler information

See Raleigh, NC salary details

$10

$57

$80

How much do data modeler jobs pay per hour?

As of Jun 21, 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.

Will AI replace data modelers?

AI tools can automate certain tasks in data modeling, such as generating schemas or analyzing data patterns, but data modelers are essential for designing complex data structures, understanding business requirements, and ensuring data quality. The role is evolving to include working alongside AI and developing skills in data architecture and tools like ER diagrams and modeling software.

What are Data Modelers?

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.

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 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.

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

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 is the work of data modeler?

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

What Is the Job of a Data Modeler?

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 jobs in the US pay $300,000 a year?

Data Modelers with extensive experience, advanced skills in data architecture, and certifications such as Certified Data Management Professional (CDMP) can reach salaries around $300,000 annually, especially in senior or specialized roles within large organizations. High-paying roles often require expertise in database design, programming, and familiarity with tools like SQL, Python, or cloud platforms, along with a strong understanding of business needs and data governance.
More about Data Modeler jobs
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 job categories do people searching Data Modeler jobs in Raleigh, NC look for? The top searched job categories for Data Modeler jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Modeler jobs? Cities near Raleigh, NC with the most Data Modeler job openings:
Data Modeler jobs near you
Infographic showing various Data Modeler job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $118,706 per year, or $57.1 per hour.
Senior Product Lead - MDM, Reference Data & Customer 360

Senior Product Lead - MDM, Reference Data & Customer 360

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Posted 27 days ago

First Citizens Bank rating

7.6

Company rating: 7.6 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

79th of 141 rated banks

Job description

Overview
We are seeking a highly experienced Senior Product Lead / Product Owner specializing in Master Data Management (MDM), Reference Data, and Customer 360 (C360) to drive enterprise-wide data initiatives.
This role focuses on defining MDM strategy, product roadmap, use cases, and data governance frameworks, while enabling a unified, high-quality view of customer and reference data across the organization. The ideal candidate will have strong experience with MDM platforms, Salesforce, Collibra, and Reference 360, and will work closely with business, data, and technology teams to deliver scalable, governed data solutions.
Responsibilities
Business Prioritization, Use Case Inventory & Roadmap
  • Drive MDM/C360 requirements and design aligned with business goals.
  • Establish domain-driven data strategies across Customer, Party, and Reference Data.
  • Lead roadmap prioritization based on business value, operational needs, and identified data quality gaps in the MDM platform based on systems of record.
  • Lead conversations with business stakeholders to identify and quantify opportunities.
  • Align strategy across MDM, C360 consumers (batch, real-time, and analytics use cases), and governance initiatives.
  • Evaluate vendor and home-grown solutions for Reference Data and Customer 360.

Business Analysis & Use Case Development
  • Gather and document business requirements and MDM use cases across C360, Reference 360, and Data Governance.
  • Translate business needs into functional and technical specifications.
  • Define Customer 360 use cases, including:
  • Single Customer View
  • Cross-channel analytics
  • Customer Onboarding & KYC
  • Duplicate management and match-merge
  • Create process and source-to-target mappings, data flows, process models, MDM data model documentation, and business glossaries.

Customer 360 (C360) & Stakeholder Outreach
  • Support and drive Customer 360 implementation efforts.
  • Identify and document MDM consumption use cases across business functions.
  • Collaborate with business stakeholders to enable trusted and accurate customer data.

Data Governance
  • Define data ownership and stewardship models.
  • Establish and maintain business glossary and metadata management standards.
  • Document data lineage and support data cataloging efforts.
  • Ensure compliance with data policies, standards, and regulatory requirements.

Reference Data Management (Ref360)
  • Define and manage reference data domains using Reference 360.
  • Standardize code sets, hierarchies, and cross-system mappings.
  • Ensure consistency of reference data across all enterprise systems.

Data Quality & Stewardship
  • Define and refine data quality rules across MDM and reference data domains.
  • Drive resolution of data issues through governance workflows.
  • Work with stewardship teams to validate data corrections and improve data completeness and consistency.

Data Platform & Snowflake Integration
  • Collaborate with engineering teams to review data models for MDM/C360.
  • Review and understand data integration pipelines.
  • Ensure optimized data ingestion, processing, and consumption layers.
  • Support analytics and reporting use cases built on the data platform.

Stakeholder Management
  • Act as a bridge between business users, data engineers, and governance teams.
  • Lead workshops, demos, and requirements sessions.
  • Communicate complex data concepts clearly to non-technical stakeholders.

Testing & Validation
  • Define test strategies for data ingestion, mastering, and data flows.
  • Validate initial load and incremental processing, match & merge outcomes, and data synchronization.
  • Support reconciliation between source systems, MDM, and downstream consumers.

Qualifications
Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
Core MDM Expertise
  • 15+ years of experience in Business Analysis, Data Management, or MDM.
  • Strong experience with Customer/Party MDM (Individual & Non-Individual), including match & merge rules (deterministic and probabilistic) and golden record creation.
  • Proven background in the Banking or Financial Services domain.

Tools & Platforms
  • Required: MDM platforms such as Informatica, Reltio, or IBM MDM.
  • Strong SQL proficiency (required).
  • Reference Data Management (Ref360) and Collibra for Data Governance, cataloging, and lineage.
  • Snowflake (data warehousing and cloud data platform) - nice to have.

Data & Analytics
  • Strong understanding of data modeling (logical & physical), data quality frameworks, and data lineage and metadata management.
  • Experience in supporting or building enterprise data warehouses.
  • Experience with Customer 360 analytics and reporting.

Business & Domain Knowledge
  • Banking, Financial Services, or enterprise domain experience (preferred).
  • Familiarity with customer data domains: Party, Address, Contact, and Hierarchy.
  • Knowledge of KYC and Compliance frameworks (preferred).

Soft Skills
  • Strong stakeholder engagement and relationship management.
  • Excellent communication and documentation abilities.
  • Ability to drive enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS
  • Experience with enterprise data transformation programs.
  • Exposure to cloud ecosystems such as Azure or AWS.
  • Exposure to cloud ecosystems such as Azure or AWS.

#LI-XG1
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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