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Remote Data Architect Jobs in Spokane, WA (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a ...

Gravity Jack

Senior iOS Developer

Spokane, WA · Remote

$60.75 - $78.50/hr

Architect efficient, scalable, and well documented code * Must be able to identify, troubleshoot ... Experience working with remote data via REST * Experience with third-party libraries and APIs

Corporate Tools

Senior Data Engineer

Post Falls, ID · On-site +1

$150K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Proven expertise with data architecture design and deployment, data modeling, and database ...

ATTAINX INC

Senior Pega Developer

Spokane, WA · Remote

$130K - $139K/yr

Remote Citizenship: Must be a US Citizen or Permanent Resident Security Clearance: USDA Public ... Pega Certified System Architect (CSA) or Certified Senior System Architect (CSSA). * US Citizen or ...

amphenol

Broadband Sales Engineer

Liberty Lake, WA · Remote

$100K - $135K/yr

... headends, regional data centers, OSP topology, and edge architecture * Experience supporting ... WORK ENVIRONMENT This role may be remote, with time spent in a corporate office as needed. Frequent ...

Corporate Tools

SEO Strategist

Post Falls, ID · On-site +1

$65K/yr

You'll build data-driven strategies that align with our business goals and connect with real users ... This is a remote position. Our main office is in Spokane WA, and we have satellite offices in ...

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Remote Data Architect information

See Spokane, WA salary details

$10

$70

$95

How much do remote data architect jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote data architect in Spokane, WA is $70.76, according to ZipRecruiter salary data. Most workers in this role earn between $61.97 and $79.71 per hour, depending on experience, location, and employer.

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 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.

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.

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 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.

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Remote Data Architect jobs near you
Infographic showing various Remote Data Architect job openings in Spokane, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $147,175 per year, or $70.8 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 29 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements:
None