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

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build a data architecture that can absorb change by redesigning Kobie's data mart to support an ...

Kobie Marketing

Sr. Data Engineer

Raleigh, NC · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Build a data architecture that can absorb change by redesigning Kobie's data mart to support an ...

BHDP Architecture

Architect

Raleigh, NC · On-site +1

Hybrid (remote or in-office) Friday Employment Type: Full-time At BHDP, we believe great design ... Role Summary The Architect III is a strong technical leader who elevates project outcomes through ...

USM

AEM Architect - REMOTE - GC, USC

Raleigh, NC · Remote

$196K/yr

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... AEM Architect - REMOTE Location: Raleigh, NC Duration: 12+ Months Contract * Expertise with Adobe ...

Pop-Up Talent

IFS Solution Architect

Raleigh, NC · Remote

$160K - $175K/yr

IFS Solution Architect USA Remote * Salary: $160K-$175K/year MISSION & PURPOSE: * The IFS Solution ... Define solution architecture, including system configuration, integrations, data flows, and ...

Apply Early

Fortrea

Workday PSA Architect

Durham, NC · Remote

Own data integrity and accuracy within the Workday PSA module. Serve as the subject matter expert ... Experience within a CRO or similar environment is highly desirable. #Futureoftech #LI-REMOTE Learn ...

IT Labs

Lead Data Engineer

Raleigh, NC · Remote

$117K - $140K/yr

Mentor other engineers and contribute to architectural decisions, technical standards, and ... Remote * Contract or B2B arrangement Our values We are a company that seeks the best for both our ...

Apply Early

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

Experience working with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in ...

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All JobsRemote Data Architect JobsRemote Data Architect Jobs in Raleigh, NC

Remote Data Architect information

See Raleigh, NC salary details

$10

$68

$91

How much do remote data architect jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for remote data architect in Raleigh, NC is $68.02, 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 are the key skills and qualifications needed to thrive as a Remote Data Architect, and why are they important?

To thrive as a Remote Data Architect, you need expertise in data modeling, database design, and cloud architecture, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, NoSQL databases, ETL platforms, and cloud services (such as AWS, Azure, or Google Cloud) is essential, and certifications like AWS Certified Solutions Architect are often valued. Strong analytical skills, effective communication, and the ability to collaborate across distributed teams help you stand out in this role. These skills and qualities ensure robust, scalable data solutions that meet business needs in a remote work environment.

What is a Remote Data Architect?

A Remote Data Architect is a professional who designs, builds, and manages data systems and structures for organizations, but works from a remote location rather than onsite. They are responsible for creating data models, defining database architecture, and ensuring data integrity, security, and scalability. Remote Data Architects collaborate with stakeholders and technical teams via digital communication tools to align data strategies with business needs. Their role is critical in supporting data-driven decision-making and enabling efficient data flow across distributed systems.

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

AspectRemote Data ArchitectRemote Data Engineer
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, Software Engineering, or related; certifications in cloud platforms and data tools
Work EnvironmentDesigns data systems, collaborates with stakeholders, oversees architectureBuilds, tests, and maintains data pipelines and infrastructure
Employer & Industry UsageUsed in organizations with complex data needs, analytics, and BICommon in tech, finance, healthcare, and e-commerce sectors

The Remote Data Architect focuses on designing and planning data systems, ensuring they meet organizational needs. In contrast, the Remote Data Engineer implements and maintains these systems by building data pipelines and infrastructure. Both roles require similar credentials and often work within the same industries, but their core responsibilities differ in scope and focus.

How does a Remote Data Architect typically collaborate with cross-functional teams to design and implement data solutions?

As a Remote Data Architect, you will frequently work with various stakeholders, including data engineers, business analysts, and IT managers, often through virtual meetings and collaborative tools. Effective communication is essential to gather requirements, align on data strategy, and ensure that data models support both technical and business needs. You may also conduct code reviews, provide architectural guidance, and help troubleshoot issues. Building strong relationships and maintaining clear documentation are key to successful remote collaboration and project delivery.

What Are Remote Jobs for a Data Architect?

As a remote data architect, you help develop, implement, and perform maintenance on a data management system. Your duties involve designing a plan to organize and protect information, reviewing data sources, ensuring accuracy and accessibility, troubleshooting system issues, and updating programs. A remote data architect may also provide support, communicating with clients via email, phone calls, or video conferencing. This is a telecommute position.

More about Remote Data Architect jobs
What are the most commonly searched types of Data Architect jobs in Raleigh, NC? The most popular types of Data Architect jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Architect jobs in Raleigh, NC? For Remote Data Architect jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Architect jobs in Raleigh, NC look for? The top searched job categories for Remote Data Architect jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Architect jobs? Cities near Raleigh, NC with the most Remote Data Architect job openings:
Remote Data Architect jobs near you
Sr. Data Engineer

Sr. Data Engineer

Kobie Marketing

Raleigh, NC • Remote

$103K - $140K/yr

Full-time

Posted 25 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

At Kobie, we turn our client's loyalty data into actionable intelligence that drives enterprise value. Our Data Engineering team builds and maintains the operational data foundation that powers real-time dashboards, client-facing reporting, and emerging AI-driven products, serving a growing portfolio of enterprise loyalty program clients across some of the most recognized brands in the world.

As a Senior Data Engineer, you will be a key technical contributor and operational owner within our data engineering function. You will bring deep Snowflake expertise and strong engineering instincts to own production data pipelines, lead client implementations, and help us evolve our data architecture to support event-driven and AI-powered workflows, all within a multi-hundred terabyte Snowflake environment where the data problems are as complex as the brands behind them.

How you will make an impact

  • Serve as the operational backbone of Kobie's data platform, ensuring the ETL/ELT pipelines, dimensional models, and Snowflake environments that power client reporting and dashboards run reliably, at scale, every day.
  • Translate client loyalty program requirements into production-ready data warehouse structures - from source system analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables and extracts that downstream reporting and client services teams depend on.
  • Diagnosing and resolve data pipeline failures quickly enough that clients and internal stakeholders rarely notice they happened by bringing the debugging fluency and Snowflake depth to contain impact and prevent recurrence.
  • Build a data architecture that can absorb change by redesigning Kobie's data mart to support an incoming event-driven, domain-driven application layer without breaking the operational foundation already in production.
  • Deliver the data infrastructure that makes AI-powered loyalty products possible. Not by building the models, but by building the reliable, well-governed platform that Kobie's innovation team needs to produce them.
  • Leave every pipeline more trustworthy than you found it, through automated testing, audit logging, CI/CD discipline, and documentation that makes the platform easier for the next engineer to own.

What you need to be successful

Required

  • 6+ years of Data Engineering experience designing and operating production grade data pipelines.
  • 3+ years of hands-on Snowflake experience as a primary data warehousing solution, with deep fluency across data sharing, data clean rooms, marketplace, and Snowpark.
  • Strong proficiency in SQL, Python, and JavaScript for data transformation, pipeline development, and automation scripting.
  • Demonstrated CI/CD experience using GitHub and GitHub Actions
  • Experience with data replication tools (Kafka, GoldenGate, HVR, Qlik Replicate or similar)
  • Deep understanding of Kimball dimensional modeling: star schemas, slowly changing dimensions, snapshot and transaction fact tables.
  • Experience integrating a wide range of data sources, including APIs, messaging systems, and streaming platforms.
  • Solid grounding in OLTP, Data Vault, and data warehouse architecture patterns, with the ability to assess source systems and translate business requirements into dimensional models.
  • Experience designing event-driven architectures and understanding how they shape data pipeline design.
  • Familiarity with domain-driven design concepts and how application architecture changes flow downstream into the warehouse.
  • Cloud experience with Azure and/or AWS.
  • Comfort working independently across concurrent projects in an Agile environment, with strong communication to non-technical data stakeholders.

Strongly Preferred

  • Prior experience in a terabyte-scale, multi-client data warehouse environment, you've worked at this kind of scale before and know what it demands.
  • Experience with data replication tool Qlik Replicate, preferred
  • Familiarity with Apache NiFi or comparable data flow orchestration tools, preferred
  • Exposure to AI workflow integration within a data warehousing context, or experience building pipelines that serve downstream machine learning use cases.
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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