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Master Data Jobs in Virginia (NOW HIRING)

Stealth Solutions, Inc.

Data Architect

Sterling, VA · On-site

$145K - $165K/yr

... master data management, reference data management, and data quality standards. · Define data validation, cleansing, deduplication, reconciliation, and quality assurance processes. · Collaborate ...

Mind Ware Inc

Java FSD with Data Engineer

Reston, VA · On-site

$53.75 - $73.75/hr

Design, build, enhance, and support Master Data Management applications and related data services. (Prefered) * Develop and maintain enterprise-grade applications using Java and related frameworks.

Kinsale Management, Inc

Senior Data Architect

Richmond, VA

$66.75 - $89.50/hr

Define and enforce enterprise data governance standards, including data ownership, lineage, metadata management, master and reference data, and regulatory alignment. * Establish and oversee data ...

Kinsale Insurance

Senior Data Architect

Richmond, VA · On-site

$180K - $200K/yr

Define and enforce enterprise data governance standards, including data ownership, lineage, metadata management, master and reference data, and regulatory alignment. * Establish and oversee data ...

Kinsale Insurance

Senior Data Architect

Richmond, VA · On-site

$66.75 - $89.50/hr

Define and enforce enterprise data governance standards, including data ownership, lineage, metadata management, master and reference data, and regulatory alignment. * Establish and oversee data ...

advansix

Master Scheduler

Chester, VA

$77K - $116K/yr

... master data at the site, e.g. lead times, bill of materials and production versions · Liaise between many departments, e.g., procurement, logistics, finance, sales/commercial, and plant operations ...

advansix

Master Scheduler

Chester, VA · On-site

$77K - $116K/yr

... master data at the site, e.g. lead times, bill of materials and production versions · Liaise between many departments, e.g., procurement, logistics, finance, sales/commercial, and plant operations ...

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Bachelor's degree or master's degree + 5-8 years' experience * Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols)

SAP

SAP NS2 Data Analytics Engineer

Herndon, VA · On-site

$117K - $141K/yr

Bachelor's degree or master's degree + 5-8 years' experience * Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols)

Expert Technology Services

SAP MDG ABAP Developer

Mclean, VA · On-site

$62.25 - $84.25/hr

Job Summary (MDG ABAP Developer - TPM Mexico Project at Mars) - Design, develop, and customize SAP Master Data Governance (MDG) solutions using ABAP for the TPM Mexico project. - Create custom data ...

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All JobsMaster Data JobsMaster Data Jobs in Virginia

Master Data information

See Virginia salary details

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$76

How much do master data jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for master data in Virginia is $43.97, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $54.81 per hour, depending on experience, location, and employer.

What jobs in the US pay 300,000 a year?

In the US, high-paying roles related to master data management typically include senior data executives, such as Chief Data Officers, and specialized data architects or consultants with extensive experience and certifications. These positions often require advanced skills in data governance, analytics tools, and leadership, and may be found in large corporations or financial institutions. Salaries reaching $300,000 are usually associated with senior-level responsibilities and significant industry expertise.

What are Master Data professionals?

Master Data professionals are specialists who manage, maintain, and ensure the accuracy of an organization's core data assets, such as customer, product, supplier, and employee information. They play a vital role in establishing data standards, improving data quality, and supporting business processes by keeping key data consistent and reliable across systems. Their work helps organizations make better decisions, comply with regulations, and operate efficiently.

What are some common challenges faced by professionals in Master Data roles, and how can they be effectively managed?

One common challenge in Master Data roles is ensuring data consistency and accuracy across multiple systems and departments. Data discrepancies can arise due to varying data entry standards or system integrations, making it essential to implement robust data governance processes. Collaboration with IT, business analysts, and end users is often required to establish clear data ownership, standardization practices, and validation routines. Regular audits and continuous communication across teams help maintain high data quality and prevent errors from propagating throughout the organization.

What is a master data job?

A master data job involves managing and maintaining an organization's core data assets, such as customer, product, or supplier information, to ensure data accuracy, consistency, and integrity. Professionals in this role often use data management tools and follow data governance standards to support business operations and decision-making.

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

To thrive as a Master Data Specialist, you need strong analytical skills, attention to detail, and a background in data management or information systems, often supported by a relevant degree. Familiarity with ERP systems like SAP or Oracle, data governance frameworks, and certifications such as CDMP are typically valued. Excellent communication, problem-solving, and organizational skills help you collaborate effectively and resolve data issues. These skills ensure accurate, consistent, and reliable data, which is critical for organizational decision-making and operational efficiency.

What is the difference between Master Data vs Data Analyst?

AspectMaster DataData Analyst
Required CredentialsBachelor's degree in Business, IT, or related fields; certifications like CDMP are commonBachelor's degree in Statistics, Mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting environments
Employer & Industry UsageUsed across industries for maintaining consistent core dataUsed across industries for insights, reporting, and decision-making

Master Data professionals focus on maintaining and managing the core data that supports business operations, ensuring data accuracy and consistency. Data Analysts interpret and analyze data to generate insights and support decision-making. While both roles work with data, Master Data roles are more data governance-oriented, whereas Data Analysts focus on data analysis and reporting.

What jobs can I get with a master's in data analysis?

A master's in data analysis qualifies you for roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions typically require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools such as Tableau or Power BI.

Is 40 too late for data science?

Master Data roles in data science are accessible at any age, including at 40, as the field values skills like programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining relevant certifications and building a portfolio of projects.
What are the most commonly searched types of Master Data jobs in Virginia? The most popular types of Master Data jobs in Virginia are:
What are popular job titles related to Master Data jobs in Virginia? For Master Data jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Master Data jobs in Virginia look for? The top searched job categories for Master Data jobs in Virginia are:
What cities in Virginia are hiring for Master Data jobs? Cities in Virginia with the most Master Data job openings:
Master Data jobs near you
Infographic showing various Master Data job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,456 per year, or $44 per hour.

Data Architect

Stealth Solutions, Inc.

Sterling, VA • On-site

$145K - $165K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 days ago

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.