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Remote Data Architect Jobs in Virginia (NOW HIRING)

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering * Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem ...

Steampunk

Lead Data Architect

Mclean, VA · Remote

The Principal Data Solution Architect shapes the vision for how data is collected, governed, transformed, stored, accessed, and activated across complex environments-ultimately enabling reliable ...

Markel International

Lead Data Architect

Richmond, VA · On-site +1

The Lead Data Architect provides strategic and hands-on leadership across divisional data initiatives, guiding delivery teams in building scalable data solutions within a modern cloud-based data ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

The Data Analytics Architect leads the design, integration, and governance of data systems that ... FAA Part 107 Remote Pilot Certification (required) Physical Requirements / Working Conditions ...

TechFlow, Inc.

Senior Solutions Architect

Arlington, VA · On-site +1

Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues affecting remote data collection points. * Develop and document architecture strategies and technology ...

BridgePhase

Data Migration Specialist

Arlington, VA · On-site +1

$65 - $83.50/hr

This is a remote position. In this position, you can expect to: * Design and execute data import ... Contribute to data model design and content architecture decisions to enable scalable and ...

TechFlow, Inc.

Senior Solutions Architect

Arlington, VA · On-site +1

Provide secure and stable methods for the remote diagnosis and resolution of maintenance issues affecting remote data collection points. * Develop and document architecture strategies and technology ...

Telus Digital

$185K - $224K/yr

Boston, MA, Columbus, OH, Charlottesville, VA, or Durham, NC, OR in a Work From Anywhere (Remote ... architect, and launch impactful solutions that align with client and executive partner goals.

ICF

Azure Architect

Reston, VA · Remote

$66 - $86/hr

... application, and data domains. Partnering with an AWS architect, this role will drive the ... This position is remote within the United States. Please note that ICF monitors employee work ...

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Remote Data Architect information

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How much do remote data architect jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for remote data architect in Virginia is $69.38, according to ZipRecruiter salary data. Most workers in this role earn between $60.77 and $78.17 per hour, depending on experience, location, and employer.

How much does a remote architect make?

A remote data architect typically earns between $90,000 and $150,000 annually, depending on experience, industry, and location. Senior roles with specialized skills in cloud platforms and data modeling can command higher salaries, and remote positions often offer competitive compensation packages.

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.

Can data architects work from home?

Data architects can often work from home, especially in organizations that support remote work and utilize collaboration tools like cloud platforms and data modeling software. The role typically involves designing data systems, which can be performed remotely with access to necessary technology and secure networks.

How much does a data architect get paid?

A remote data architect typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Senior roles with specialized skills in cloud platforms and data modeling can command higher salaries, often exceeding $160,000 per year.

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.

Are data architects in high demand?

Data architects are in high demand due to the increasing need for organizations to manage large volumes of data effectively. They play a key role in designing data systems, and their expertise in database management, cloud platforms, and data modeling makes them valuable across many industries. The role often requires strong technical skills and certifications in data management tools or cloud services.
More about Remote Data Architect jobs
What are the most commonly searched types of Data Architect jobs in Virginia? The most popular types of Data Architect jobs in Virginia are:
What are popular job titles related to Remote Data Architect jobs in Virginia? For Remote Data Architect jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Data Architect jobs in Virginia look for? The top searched job categories for Remote Data Architect jobs in Virginia are:
What cities in Virginia are hiring for Remote Data Architect jobs? Cities in Virginia with the most Remote Data Architect job openings:
Remote Data Architect jobs near you
Infographic showing various Remote Data Architect job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 9% In-person, and 91% Remote job distribution, with an average salary of $144,308 per year, or $69.4 per hour.
Data Architect

Data Architect

Anika Systems

Leesburg, VA • On-site, Remote

$64.50 - $83/hr

Full-time

Posted 23 days ago

Job description

Anika Systems is seeking a highly skilled Data Architect to lead the design and implementation of enterprise data architectures supporting federal clients. This role will be instrumental in shaping data strategy, enabling data-driven decision-making, and supporting the establishment and maturation of Office of the Chief Data Officer (OCDO) organizations.
The ideal candidate brings deep expertise in enterprise data modeling, cloud-based data platforms, metadata management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs, and semantic technologies to modern data ecosystems. This role requires a forward-thinking architect who embraces AI-driven development workflows and can integrate emerging techniques such as GraphRAG into enterprise data platforms.
This opportunity is 100% remote.
Key Responsibilities
Enterprise Data Architecture & Engineering
  • Design and implement scalable enterprise data architectures leveraging AWS and Apache ecosystem technologies (e.g., Spark, Iceberg).
  • Architect modern AI-enabled data platforms, including support for machine learning, LLM integration, and retrieval-augmented generation (RAG) patterns.
  • Develop and maintain conceptual, logical, and physical data models, including Entity Relationship Diagrams (ERDs).
  • Architect modern data lakehouse and data warehouse solutions using Apache Iceberg and cloud-native services.
  • Define and enforce standards for data integration, data quality, and data lifecycle management.
  • Design and implement Knowledge Graph architectures, integrating structured and unstructured data sources.
AI, Knowledge Graphs & Semantic Architecture
  • Design and implement Knowledge Graphs and semantic data layers using ontologies, taxonomies, and linked data principles.
  • Apply GraphRAG architectures to enhance LLM-based applications with context-aware, explainable data retrieval.
  • Develop and manage ontologies and semantic models to enable interoperability, data discovery, and advanced analytics.
  • Integrate AI/ML and generative AI capabilities into enterprise data ecosystems, including vector databases and embedding pipelines.
  • Leverage AI-assisted development tools (e.g., code generation, data pipeline automation, metadata enrichment) to improve delivery speed and quality.
  • Ensure alignment between data architecture and AI governance, including model transparency, traceability, and responsible AI practices.
Metadata, Data Catalog, and Data Management
  • Establish and manage enterprise metadata frameworks, including data dictionaries, business glossaries, and technical metadata repositories.
  • Support implementation or optimization of Enterprise Data Resource Management Systems (EDRMS) and data catalog tools (e.g., Collibra, ServiceNow, or similar platforms).
  • Ensure referential integrity and traceability between data assets, metadata, ontologies, and enterprise data initiatives.
  • Design systems that enable data lineage, observability, and quality monitoring, including AI-generated metadata and lineage tracking.
Stakeholder Engagement & Data Governance
  • Lead or support stakeholder listening campaigns to gather input from executives, data leaders, and practitioners across the enterprise.
  • Collaborate with stakeholders to identify data challenges, AI use cases, and opportunities for advanced analytics and automation.
  • Support the development and maintenance of data governance frameworks, policies, and standards, including AI and semantic governance.
  • Maintain and prioritize a data initiatives backlog, ensuring alignment with mission needs and stakeholder priorities.
Agile Delivery & Continuous Improvement
  • Work within Agile frameworks to iteratively deliver data architecture and AI-enabled solutions.
  • Support analysis of alternatives (AoA) for data and AI tools/platforms, providing recommendations based on cost, capability, and mission fit.
  • Track and report on data strategy progress, maturity improvements, and program outcomes.
  • Continuously refine data architecture based on stakeholder feedback, emerging AI capabilities, and evolving organizational needs.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Science, or related field or comparable experience.
  • 8+ years of experience in data architecture, data engineering, or enterprise data management.
  • Demonstrated experience integrating AI/ML or generative AI capabilities into data platforms.
  • Hands-on experience with:
    • AWS data services (e.g., S3, Glue, Redshift, Lake Formation)
    • Apache technologies (e.g., Spark, Iceberg, Hive)
    • Relational databases
  • Strong expertise in data modeling and ERD development.
  • Experience designing or implementing Knowledge Graphs, ontologies, or semantic data models.
  • Familiarity with Graph-based retrieval approaches (e.g., GraphRAG or similar patterns).
  • Experience implementing metadata management, data cataloging, and data governance solutions.
  • Demonstrated experience supporting federal data strategy initiatives or OCDO organizations.
  • Strong understanding of data quality, lineage, observability, and AI data readiness frameworks.
  • Proficiency with AI-assisted tools and workflows (e.g., LLM copilots, automated code generation, data augmentation tools).
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • U.S. Citizenship required; ability to obtain and maintain a federal clearance.
Preferred Qualifications
  • Experience supporting agencies such as SEC, DHS, Treasury, or Federal Reserve System.
  • Familiarity with Evidence Act, Federal Data Strategy, and CDO Council guidance.
  • Experience with Collibra, Informatica, Alation, or similar data catalog tools.
  • Experience with graph databases (e.g., Neo4j, Amazon Neptune) and vector databases.
  • Knowledge of data maturity frameworks (e.g., EDM DCAM, TDWI).
  • AWS certifications or data architecture certifications.
  • Experience implementing RAG or GraphRAG solutions in production environments.
  • Familiarity with semantic web standards (RDF, OWL, SPARQL).

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