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Full Time Remote Big Data Jobs in Raleigh, NC (NOW HIRING)

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

Data Scientist

Raleigh, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

... Big data tools: Hadoop, Azure, etc. * Experience in a professional services or law firm is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

New

Data Analyst

Raleigh, NC · On-site +1

  • Medical

  • PTO

This is a remote full-time post with lots of possibilities for advancement. By means of data exploration and analysis, we can go through large databases in search of correlations, anomalies, trends ...

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Full Time Remote Big Data information

See Raleigh, NC salary details

$15

$61

$85

How much do full time remote big data jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for full time remote big data in Raleigh, NC is $61.22, according to ZipRecruiter salary data. Most workers in this role earn between $52.12 and $68.94 per hour, depending on experience, location, and employer.

What is the difference between Full Time Remote Big Data vs Full Time Remote Data Engineer?

AspectFull Time Remote Big DataFull Time Remote Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's in CS, Software Engineering; experience with ETL, cloud platforms
Work EnvironmentRemote, collaborative teams, data analysis focusRemote, development-focused, infrastructure setup
Industry UsageTech, finance, healthcare, retailTech, finance, consulting, e-commerce

Full Time Remote Big Data roles focus on managing and analyzing large datasets using tools like Hadoop and Spark, often emphasizing data processing and analytics. Full Time Remote Data Engineers build and maintain data pipelines, focusing on infrastructure, ETL processes, and cloud platforms. While both roles require similar technical credentials and often operate remotely, their core responsibilities differ: Big Data roles analyze data, whereas Data Engineers develop the systems that enable data analysis.

What are popular job titles related to Full Time Remote Big Data jobs in Raleigh, NC?

For Full Time Remote Big Data jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Big Data jobs in Raleigh, NC look for?

The top searched job categories for Full Time Remote Big Data jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Full Time Remote Big Data jobs?

Cities near Raleigh, NC with the most Full Time Remote Big Data job openings:

Infographic showing various Full Time Remote Big Data job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,343 per year, or $61.2 per hour.

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 21 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