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Manager Remote Data Architect Jobs in Virginia (NOW HIRING)

Anika Systems

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

... management, and data governance, along with hands-on experience applying AI/ML, Knowledge Graphs ... This opportunity is 100% remote. Key Responsibilities Enterprise Data Architecture & Engineering

Nüvitek

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... Manage source-to-target data mapping between different data models. * Assist in planning, designing ...

SAIC

Enterprise Data Architect

Chantilly, VA · Remote

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking an Enterprise Data ... The qualified candidate will assist and advise Government managers to develop and maintain a ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

... management, and continuous improvement. Job Location: This position is remote within the United ... Lead the design and implementation of scalable data architecture, including data pipelines, data ...

VivSoft Technologies LLC

Solution Architect

Herndon, VA · On-site +1

$165K - $185K/yr

Remote Clearance Required: Public Trust Clearance Position Type: Full-Time About the company: At ... These factories deliver AI/ML Applications, Data Science Platforms, Blockchain and Microservices ...

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 ...

Maximus

Salesforce IT Architect

VA · On-site +1

$69.25 - $85.75/hr

... strategies, data quality, master data management, and security/compliance considerations ... remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Robbins Gioia

Solutions Architect

Alexandria, VA · On-site +1

$160K - $180K/yr

The Solutions Architect will work closely with the Program Manager, Technical Lead, and Data ... Ability to operate effectively in remote/hybrid team environments * Current NACI or ability to ...

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All JobsData Architect JobsManager Remote Data Architect JobsManager Remote Data Architect Jobs in Virginia

Manager Remote Data Architect information

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

AspectManager Remote Data ArchitectData Engineer
Required CredentialsBachelor's/Master's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in CS, Software Engineering, or related; certifications like cloud platforms
Work EnvironmentLeads data architecture projects remotely, collaborates with teams, oversees data strategyBuilds and maintains data pipelines, works on data integration and processing
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsTech firms, startups, enterprise data teams

The Manager Remote Data Architect focuses on designing and overseeing data systems remotely, managing teams and strategy. In contrast, Data Engineers primarily build and maintain data pipelines and infrastructure. Both roles often require similar technical credentials and are common in tech-driven industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Remote Data Architect jobs in Virginia? The most popular types of Remote Data Architect jobs in Virginia are:
What are popular job titles related to Manager Remote Data Architect jobs in Virginia? For Manager Remote Data Architect jobs in Virginia, the most frequently searched job titles are:
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Manager Remote Data Architect jobs near you
Data Architect

Data Architect

Anika Systems

Leesburg, VA • On-site, Remote

$64.50 - $83/hr

Full-time

Posted 28 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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