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Senior Data Architect Jobs in Reston, VA (NOW HIRING)

RIVIDIUM

Data Architect

Quantico, VA

$68.75 - $88.50/hr

RiVidium Inc. is seeking a Senior Data Architect with expertise in data strategy, data governance, data modeling, and enterprise data architecture. This role is responsible for designing ...

DCCA

SME - Data Architect

Bethesda, MD · On-site

$68 - $87.50/hr

They are seeking a Senior Data Architect to develop enterprise data architectures and ensure data quality, security, and compliance using emerging technologies. Responsibilities : • Experience in ...

Rividium Inc

Data Architect

Quantico, VA · On-site

$68.75 - $88.50/hr

RiVidium Inc. is seeking a Senior Data Architect with expertise in data strategy, data governance, data modeling, and enterprise data architecture. This role is responsible for designing ...

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Senior Data Architect information

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How much do senior data architect jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for senior data architect in Reston, VA is $78.43, according to ZipRecruiter salary data. Most workers in this role earn between $67.26 and $90.05 per hour, depending on experience, location, and employer.

What does a senior data architect do?

A Senior Data Architect is responsible for designing, creating, and managing an organization's data infrastructure and strategy. They ensure that data is stored, organized, and accessed efficiently, supporting business goals and analytics needs. Their role often includes selecting appropriate database technologies, defining data models, setting data governance policies, and ensuring security and compliance. Senior Data Architects also collaborate with IT teams, data scientists, and business stakeholders to align data solutions with company objectives.

How does a senior data architect typically collaborate with other teams within an organization?

A Senior Data Architect regularly works with cross-functional teams, including data engineers, business analysts, software developers, and IT leadership. They serve as the bridge between business requirements and technical implementation, ensuring data models and architecture align with organizational goals. Effective collaboration is key, as they often lead design sessions, review data standards, and provide guidance on best practices. This role requires strong communication skills to translate complex technical concepts into actionable plans for both technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive as a senior data architect?

To thrive as a Senior Data Architect, you need deep expertise in data modeling, database design, and data integration, typically supported by a degree in computer science or a related field. Mastery of modern database platforms (e.g., SQL, NoSQL), cloud data services (like AWS, Azure, or Google Cloud), and relevant certifications such as CDMP or AWS Certified Data Analytics are commonly required. Exceptional problem-solving, stakeholder communication, and leadership skills set top performers apart in this role. These skills ensure robust, scalable data architectures that align with business goals and enable effective decision-making.

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

AspectSenior Data ArchitectData Engineer
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 or data tools
Work EnvironmentDesigning data systems, creating architecture frameworks, collaborating with stakeholdersBuilding, maintaining, and optimizing data pipelines and infrastructure
Industry UsageUsed across industries for data strategy and architecture planningCommonly employed in data pipeline development and data management tasks

The Senior Data Architect focuses on designing and overseeing data systems and architecture, ensuring data solutions align with business needs. In contrast, Data Engineers primarily build and maintain the data pipelines and infrastructure necessary for data processing. Both roles require similar technical credentials and often work closely, but their core responsibilities differ in scope and focus.

Are data architects in high demand?

Data architects are in high demand due to the increasing importance of data management and analytics across industries. Organizations seek professionals skilled in data modeling, database design, and tools like cloud platforms and SQL to support their data strategies.

How much does a senior data architect make in the US?

A senior data architect in the US typically earns between $110,000 and $160,000 annually, depending on experience, location, and industry. They often require expertise in data modeling, database design, and tools like SQL and cloud platforms.

How much does a senior data architect get paid?

A senior data architect typically earns between $100,000 and $160,000 annually, depending on experience, location, and industry. They often possess skills in data modeling, database design, and tools like SQL and cloud platforms, which can influence salary levels.
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Senior Data Architect jobs near you
Infographic showing various Senior Data Architect job openings in Reston, VA 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 $163,129 per year, or $78.4 per hour.

Data Architect

RIVIDIUM

Quantico, VA

$68.75 - $88.50/hr

Full-time

Re-posted 21 days ago

Job description

RiVidium Inc. is seeking a Senior Data Architect with expertise in data strategy, data governance, data modeling, and enterprise data architecture. This role is responsible for designing, implementing, and managing scalable data architectures that support organizational goals while ensuring data security, accessibility, and integrity.

Key Responsibilities:

  • Develop and implement enterprise data strategies, governance frameworks, and architecture standards
  • Design, build, and manage scalable data architectures to support business and mission needs
  • Collaborate with database administrators, analysts, and stakeholders to ensure efficient and secure data access
  • Lead data modeling efforts, including conceptual, logical, and physical data models
  • Define how data is stored, integrated, consumed, and managed across systems and applications
  • Establish and maintain master data management (MDM) and metadata management practices
  • Create data architecture artifacts, including diagrams, data inventories, and architectural roadmaps
  • Ensure data architectures scale to meet increasing data demands and evolving business requirements
  • Define data quality standards and business rules to support data integrity and usability
  • Document and communicate the relationship between business objectives and IT data solutions
  • Develop strategy documents, roadmaps, and business cases; support planning and implementation efforts
  • Collaborate across teams to promote data-driven decision-making and architectural best practices

Minimum Qualifications:

  • Bachelor?s degree in Computer Science, Information Systems, or a related field
    • Equivalent project-related experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least five (5) years in information systems design
  • Proven experience designing and implementing enterprise data architectures and information solutions
  • Strong expertise in data modeling, data classification, and enterprise data architecture frameworks
  • Experience with system integration, interface design, and web-based architecture approaches
  • Knowledge of metadata management, data warehousing, business intelligence, and data governance practices
  • Familiarity with cloud and hybrid data environments and distributed data management
  • Understanding of modern data architectures, including microservices and event-driven architectures
  • Strong analytical, problem-solving, and communication skills

Core Competencies:

  • Ability to translate business needs into scalable data solutions
  • Strong conceptual thinking, pattern recognition, and problem-solving abilities
  • Effective communication with executive leadership, business stakeholders, and technical teams
  • Experience with design thinking and innovation methodologies
  • Ability to quickly learn and apply new technologies and mentor team members

Preferred Qualifications:

  • Experience with enterprise data modeling tools
  • Experience with cloud-managed data services (AWS, Azure, or similar)
  • Hands-on experience implementing data governance and analytics programs
  • 3?5 years of experience as a data analyst
  • Prior experience with Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal enterprise architecture frameworks and artifacts

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