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Remote Data Modeler Jobs in Raleigh, NC (NOW HIRING)

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

... models that support enterprise reporting, analytics, data migration, and operational decision ... This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Design and implement enterprise ETL/ELT frameworks, data models, data quality controls ...

New

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... Design and implement enterprise ETL/ELT frameworks, data models, data quality controls ...

New

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Senior Data Team Lead (Remote)

Durham, NC · On-site +1

$86K - $217K/yr

... models. Apply now and have your resume considered for Senior Data Team Lead opportunities across ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Establish and continuously improve model lifecycle practices, including development, validation ...

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Remote Data Modeler information

See Raleigh, NC salary details

$10

$57

$80

How much do remote data modeler jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive in the Remote Data Modeler position, and why are they important?

A Remote Data Modeler should possess strong skills in data modeling concepts, database design, and a background in computer science or a related field. Expertise in tools such as ER/Studio, SQL, and familiarity with cloud data platforms (e.g., AWS, Azure) and relevant certifications like CDMP are highly valued. Exceptional analytical thinking, communication, and self-management abilities set top performers apart, especially when collaborating with distributed teams. These skills enable the creation of accurate, scalable data models and ensure effective remote collaboration on complex data projects.

What does a typical day look like for a Remote Data Modeler?

A typical day for a Remote Data Modeler involves collaborating with stakeholders to gather data requirements, designing and updating data models, and documenting structures for existing or new systems. You’ll spend significant time working with modeling tools, writing or reviewing database scripts, and participating in virtual meetings to ensure alignment with development teams and business analysts. Regular tasks include data mapping, troubleshooting modeling issues, and updating data dictionaries. The role requires balancing focus time for deep analysis with clear virtual communication to ensure projects progress smoothly.

What is a Remote Data Modeler job?

A Remote Data Modeler is responsible for designing, implementing, and optimizing data models that support business intelligence, analytics, and database management. They work with large datasets, ensuring data is structured efficiently for performance and scalability. This role often involves collaboration with data engineers, analysts, and business stakeholders to define data requirements. Since it's a remote position, strong communication and self-management skills are crucial for success.

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 Remote Data Modeler jobs in Raleigh, NC? For Remote Data Modeler jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Modeler jobs in Raleigh, NC look for? The top searched job categories for Remote Data Modeler jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Modeler jobs? Cities near Raleigh, NC with the most Remote Data Modeler job openings:
Infographic showing various Remote Data Modeler job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,713 per year, or $57.1 per hour.
Cloud Data Architect (Full-time Remote, NC Based)

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teams 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelor’s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

• Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

• Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date. 

Salary Range 

$118-$150,872/Annually 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity. 

An excellent fringe benefit package accompanies the salary, which includes:  

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility