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Remote Aws Data Architect Jobs in Raleigh, NC (NOW HIRING)

AWS The Practice Lead for AWS is a hands-on leader dedicated to helping customers get the most out ... While the primary focus is on database environments, the Lead provides architectural guidance ...

We are open to hiring on a remote basis in the United States, with the understanding that the ... You will partner with engineering, security, architecture, and product teams to implement ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead ...

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead ...

Principle AWS Cloud Engineer

Raleigh, NC · On-site +1

$54.25 - $72.50/hr

We are open to hiring on a remote basis in the United States, with the understanding that the ... You will partner with engineering, security, architecture, and product teams to implement ...

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Remote Aws Data Architect information

See Raleigh, NC salary details

$10

$68

$91

How much do remote aws data architect jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for remote aws data architect in Raleigh, NC is $68.03, according to ZipRecruiter salary data. Most workers in this role earn between $59.57 and $76.63 per hour, depending on experience, location, and employer.

What is the difference between Remote Aws Data Architect vs Remote Cloud Data Engineer?

AspectRemote Aws Data ArchitectRemote Cloud Data Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified Data AnalyticsAWS Certified Data Analytics, Google Cloud Professional Data Engineer
Work EnvironmentDesigns data solutions on AWS cloud, collaborates with teamsBuilds and maintains data pipelines, often on cloud platforms including AWS
Industry UsageUsed across industries for cloud data architectureCommonly employed for data pipeline development and data engineering tasks

The Remote Aws Data Architect focuses on designing and planning data solutions on AWS, while the Remote Cloud Data Engineer primarily builds and maintains data pipelines across cloud platforms. Both roles require similar certifications and often work in overlapping environments, but their core responsibilities differ in scope and focus.

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

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

What are popular job titles related to Remote Aws Data Architect jobs in Raleigh, NC?

For Remote Aws Data Architect jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Remote Aws Data Architect jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Remote Aws Data Architect jobs?

Cities near Raleigh, NC with the most Remote Aws Data Architect job openings:

Infographic showing various Remote Aws Data Architect job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $141,493 per year, or $68 per hour.

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

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 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