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Remote Master Data Management Jobs in Virginia (NOW HIRING)

Data Architect

Sterling, VA · Remote

$145K - $165K/yr

Establish enterprise data governance, metadata management, master data management, reference data management, and data quality standards. Define data validation, cleansing, deduplication ...

Apply Early

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven ... Experience with data governance, data quality, and master data management concepts. * Experience ...

Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Hiring multiple Clinical Data Management (CDM) Leads across our FSP (Functional Service Provider ... This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ...

Senior Database Developer

Mclean, VA · Remote

$110K - $130K/yr

This is a full-time and remote position. Astor is looking for an experienced Oracle Database ... Strong understanding of Master Data Management policies including cleansing, normalization and ...

Familiarity with data governance frameworks, data quality management, and * master data management (MDM) principles. * Integration of external data sources, SFTP-based ETL, and real-time pipelines.

Familiarity with data governance frameworks, data quality management, and * master data management (MDM) principles. * Integration of external data sources, SFTP-based ETL, and real-time pipelines.

IT & Data Solutions Specialist

Herndon, VA · On-site +1

$110K - $140K/yr

Master data management and system integration * Power BI and dashboards and Process Automation using Power Automate * AI/GenAI evaluation, policy development, and deployment * Expertise of Microsoft ...

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Remote Master Data Management information

What are some common challenges faced by Remote Master Data Management professionals, and how can they be addressed?

Remote Master Data Management (MDM) professionals often encounter challenges such as ensuring data consistency across multiple systems, coordinating with geographically dispersed teams, and maintaining data security. Effective communication and collaboration tools are essential for aligning with stakeholders and IT teams. Establishing clear data governance policies and regular virtual meetings can help address inconsistencies and streamline workflows. Additionally, using secure remote access solutions and adhering to best practices in data privacy ensures data integrity and compliance.

What are the key skills and qualifications needed to thrive as a Remote Master Data Management professional, and why are they important?

To thrive as a Remote Master Data Management professional, you need expertise in data governance, data quality, and master data modeling, often supported by a degree in information systems or a related field. Familiarity with MDM platforms like Informatica, SAP MDG, or Oracle, as well as knowledge of data integration tools and data security standards, is typically required. Strong analytical thinking, communication skills, and attention to detail are essential soft skills for collaborating across departments and ensuring data consistency. These competencies are crucial for maintaining accurate, reliable data assets that drive business decisions and operational efficiency.

What is a Remote Master Data Management professional?

A Remote Master Data Management (MDM) professional is responsible for overseeing and maintaining an organization's critical data assets from a remote location. They ensure the accuracy, consistency, and security of master data—such as customer, product, and supplier information—across different systems and departments. By implementing data governance policies and collaborating with various teams, they help organizations make better business decisions and comply with data regulations. Remote MDM professionals use specialized tools and processes to manage data integrity while working outside of a traditional office environment.

What is the difference between Remote Master Data Management vs Remote Data Analyst?

AspectRemote Master Data ManagementRemote Data Analyst
CredentialsTypically requires data management certifications, SQL, and database knowledgeRequires data analysis, Excel, SQL, and visualization skills
Work EnvironmentFocuses on data governance, quality, and integration within organizationsAnalyzes data to generate insights, reports, and support decision-making
Industry UsageCommon in IT, finance, healthcare, and large enterprisesWidely used across marketing, finance, healthcare, and consulting

Remote Master Data Management professionals focus on maintaining accurate, consistent, and reliable data across systems, while Remote Data Analysts interpret data to inform business decisions. Both roles require strong technical skills but serve different functions within organizations.

What are the most commonly searched types of Master Data Management jobs in Virginia? The most popular types of Master Data Management jobs in Virginia are:
What are popular job titles related to Remote Master Data Management jobs in Virginia? For Remote Master Data Management jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Master Data Management jobs in Virginia look for? The top searched job categories for Remote Master Data Management jobs in Virginia are:
What cities in Virginia are hiring for Remote Master Data Management jobs? Cities in Virginia with the most Remote Master Data Management job openings:

Data Architect

Stealth Solutions, Inc.

Sterling, VA • Remote

$145K - $165K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago

Be an early applicant


Job description

Benefits:
  • 401(k)
  • 401(k) matching
  • Health insurance
  • Paid time off

Position Overview
Stealth Solutions is seeking an experienced Data Architect to lead the enterprise data architecture and large-scale data modernization efforts supporting complex Federal digital transformation initiatives.
This is a hands-on technical leadership role responsible for designing enterprise data architecture, developing migration strategies, and leading the transformation of large volumes of structured and unstructured data from legacy platforms into modern cloud-based solutions. The successful candidate will define enterprise data models, information architecture, migration frameworks, and governance standards while ensuring data integrity, quality, security, and long-term scalability.
The ideal candidate has extensive experience modernizing legacy systems, migrating enterprise databases, documents, images, digital content, and metadata into modern cloud platforms while minimizing operational risk and maintaining data accuracy.
Candidates must reside within the Washington, DC, Maryland, or Virginia (DMV) metropolitan area to support occasional onsite meetings.
Key Responsibilities
Lead enterprise data architecture supporting Salesforce Public Sector Solutions and cloud-based enterprise applications.
Design conceptual, logical, and physical enterprise data models.
Develop enterprise information architecture supporting structured and unstructured data.
Architect and lead large-scale migration of structured data, documents, images, digital content, metadata, and historical records from legacy systems into modern cloud platforms.
Define enterprise data migration strategies, migration waves, cutover planning, reconciliation, and rollback procedures.
Design ETL/ELT processes, transformation logic, canonical data models, and data synchronization strategies.
Establish enterprise data governance, metadata management, master data management, reference data management, and data quality standards.
Define data validation, cleansing, deduplication, reconciliation, and quality assurance processes.
Collaborate with application, integration, cloud, and DevSecOps teams to ensure successful migration and deployment activities.
Partner with the MuleSoft Integration Architect to define API data contracts, enterprise integrations, and data exchange strategies.
Design enterprise document and content migration strategies, including document metadata, file storage, indexing, searchability, retention, and archival.
Ensure compliance with Federal security standards, privacy requirements, Zero Trust principles, records management, and enterprise data governance policies.
Lead data architecture reviews, migration readiness assessments, and production cutover planning.
Mentor developers and technical teams on enterprise data architecture and migration best practices.
Required Qualifications
U.S. Citizenship required.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
8+ years of enterprise experience.
5+ years of hands-on experience leading enterprise data migration and modernization initiatives.
Demonstrated experience migrating large volumes of structured and unstructured data from legacy systems to modern cloud platforms.
Hands-on experience designing enterprise data models, migration frameworks, ETL/ELT processes, and data transformation strategies.
Experience migrating enterprise documents, images, digital assets, metadata, and file repositories.
Strong knowledge of relational databases, SQL, JSON, XML, REST APIs, and enterprise data architecture.
Experience with Salesforce data architecture and cloud-based enterprise applications.
Experience implementing enterprise data governance, master data management, metadata management, and data quality programs.
Experience performing data profiling, reconciliation, validation, and migration testing.
Experience supporting Agile software development and enterprise modernization programs.
Excellent communication, analytical, and technical leadership skills.
Preferred Qualifications
Salesforce Data Architect certification.
Salesforce Application Architect or System Architect certification.
Experience with Salesforce Public Sector Solutions.
Experience with Informatica, Data Cloud, Snowflake, Azure Data Factory, or comparable enterprise data platforms.
Experience migrating enterprise content repositories and document management systems.
Experience with OCR, intelligent document processing, metadata extraction, and enterprise search technologies.
Experience supporting Federal cloud modernization initiatives.
Experience with records management, digital archiving, and enterprise content management solutions.

Flexible work from home options available.