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Master Data Manager Jobs in Washington, DC (NOW HIRING)

Sr Enterprise Data Architect

Washington, DC · On-site

$76 - $101.50/hr

Metadata & Master Data Management (MDM) * Design and maintain enterprise metadata models and ensure metadata tagging aligns with Collibra. * Oversee data classification, business glossaries, and data ...

Data Architect

Quantico, VA · Hybrid

$130K - $165K/hr

Lead Data Governance, Data Security, Master Data Management (MDM), Metadata Management, and Data Quality initiatives. * Define how data is stored, integrated, accessed, consumed, and managed across ...

... Master Data Management (MDM) platforms (e.g., IBM InfoSphere MDM) • Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities • Knowledge of probabilistic ...

Data Architect

Quantico, VA · On-site

$68.75 - $88.50/hr

Lead Data Governance, Data Security, Master Data Management (MDM), Metadata Management, and Data Quality initiatives. * Define how data is stored, integrated, accessed, consumed, and managed across ...

Enterprise Data Architect

Herndon, VA · On-site

$112 - $179/hr

Establish and operate a master data management (MDM) capability for shared reference data (facilities, sites, CIPs, JCNs, systems, personnel roles) * Define data quality metrics, monitoring, and ...

Data Solutions Engineer

Washington, DC · On-site

$129K - $155K/yr

Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.

Establish and operate a master data management (MDM) capability for shared reference data (facilities, sites, CIPs, JCNs, systems, personnel roles) * Define data quality metrics, monitoring, and ...

Enterprise Data Architect

Herndon, VA · On-site

$112K - $179K/yr

Establish and operate a master data management (MDM) capability for shared reference data (facilities, sites, CIPs, JCNs, systems, personnel roles) * Define data quality metrics, monitoring, and ...

Establish and operate a master data management (MDM) capability for shared reference data (facilities, sites, CIPs, JCNs, systems, personnel roles) * Define data quality metrics, monitoring, and ...

Showing results 21-40

Master Data Manager information

See Washington, DC salary details

$35.1K

$110K

$194.7K

How much do master data manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for master data manager in Washington, DC is $109,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a master data manager?

A Master Data Manager is a professional responsible for overseeing an organization’s critical business data, ensuring its accuracy, consistency, and security across various systems. They develop and implement policies and processes for managing master data, such as customer, product, or supplier information. Their role often involves data governance, quality control, and collaborating with different departments to maintain data integrity. Master Data Managers help organizations make informed decisions by providing reliable data and supporting compliance with regulatory requirements.

How does a master data manager typically collaborate with other departments to ensure data consistency across the organization?

A Master Data Manager works closely with teams such as IT, finance, operations, and sales to establish and enforce data governance policies. They facilitate regular communication to align data standards and resolve discrepancies, often leading cross-functional meetings to address data quality issues. By collaborating on data integration projects and implementing best practices, Master Data Managers ensure that all departments have access to accurate and consistent information, which is crucial for decision-making and operational efficiency.

What are the key skills and qualifications needed to thrive as a master data manager, and why are they important?

To thrive as a Master Data Manager, you need expertise in data governance, data quality management, and strong analytical skills, typically supported by a degree in information systems or a related field. Familiarity with master data management (MDM) platforms like Informatica or SAP MDG, and certifications in data management are highly beneficial. Exceptional communication, attention to detail, and project management abilities help you collaborate across departments and drive data initiatives. These skills ensure accurate, consistent, and reliable data that supports business decision-making and operational efficiency.

What is the difference between Master Data Manager vs Data Analyst?

AspectMaster Data ManagerData Analyst
Required CredentialsBachelor's degree in Business, IT, or related field; certifications like CDMP or DAMABachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageFinance, healthcare, retail, manufacturingMarketing, finance, consulting, technology

The Master Data Manager focuses on maintaining and governing core data assets across an organization, ensuring data accuracy and consistency. In contrast, a Data Analyst interprets data to generate insights and support decision-making. While both roles require data-related skills, the Master Data Manager emphasizes data governance and management, whereas the Data Analyst emphasizes data analysis and reporting.

How much does a master data manager make?

The average salary for a master data manager in the United States ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals with certifications in data management tools and strong analytical skills tend to earn higher salaries.

What are the most commonly searched types of Master Data jobs in Washington, DC?

The most popular types of Master Data jobs in Washington, DC are:

Infographic showing various Master Data Manager job openings in Washington, DC as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $110,005 per year, or $52.9 per hour.

Sr Enterprise Data Architect

Vervic Inc.

Washington, DC • On-site

$76 - $101.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

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

Sr Enterprise Data Architect 

Active Top Secret or DHS Clearance.

Location: Washington, D.C. - Hybrid
 
Job Description:
Client: Seeking a Senior Database Engineer with 10+ years of experience in data governance to design, implement, and manage enterprise-wide data governance frameworks.
 
 The candidate must be able to establish and maintain robust metadata, data lineage, and master data management practices while ensuring alignment with organizational policies, standards, and regulatory requirements.
 
 The position also demands hands-on experience integrating Collibra with modern data platforms, supporting business users in self-service data discovery, and leveraging automation and AI/ML capabilities to enhance data quality, streamline metadata ingestion, and optimize governance processes.
 
 YOUR FUTURE DUTIES AND RESPONSIBILITIES
Data Governance & Collibra Integration
  • Define and implement data governance frameworks using Collibra.
  • Ensure data cataloging, data lineage, and data stewardship are maintained within Collibra.
  • Work with business and IT teams to establish data policies, standards, and ownership.
Metadata & Master Data Management (MDM)
  • Design and maintain enterprise metadata models and ensure metadata tagging aligns with Collibra.
  • Oversee data classification, business glossaries, and data dictionaries within Collibra.
  • Collaborate with teams to ensure consistent and accurate master data across systems.
Data Architecture & Strategy
  • Define data models, standards, and principles for structured and unstructured data.
  • Work on data integration strategies to align disparate data sources with governance frameworks.
  • Ensure compliance with data privacy and security regulations like GDPR, CCPA, and federal standards.
Team Collaboration & Stakeholder Management
  • Partner with CDO, Data Stewards, Engineers, and Analysts to ensure data usability and trustworthiness.
  • Provide technical guidance on how Collibra integrates with data platforms (e.g., Snowflake, Databricks, AWS, etc.).
  • Train and support business users on self-service data discovery using Collibra.
Automation & AI Integration
  • Leverage AI/ML capabilities within Collibra for data quality monitoring and anomaly detection.
  • Automate metadata ingestion, data lineage, and governance processes to improve efficiency.
QUALIFICATIONS
  • Bachelor's Degree in Computer Science, Engineering, or a related field.
  • 10+ years of relevant experience.
  • Strong knowledge of metadata management, data lineage, and master data management (MDM) practices.
  • Hands-on expertise integrating Collibra (or similar, e.g., Informatica) with modern data platforms (e.g., Snowflake, Databricks, AWS).
  • Solid understanding of data architecture principles, data modeling, and data integration strategies.
  • Familiarity with data privacy and regulatory standards such as GDPR, CCPA, and federal compliance requirements.
  • Ability to collaborate with cross-functional stakeholders and provide guidance on data governance best practices.
  • Strong communication skills and ability to lead and mentor a development team.
NICE TO HAVES
  • Hands-on experience with Collibra.
  • Hands-on experience integrating Collibra with BI/analytics tools (e.g., Tableau, Power BI).
  • Prior experience supporting large-scale enterprise data modernization initiatives. 
Clearance: 
  • U.S. Citizen; Active DHS Clearance, DoD Top Secret Clearance, or Q-level Clearance.
WHY US
  • Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
  • Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
  • Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
  • Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
  • Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
  • Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.
If you're ready to embark on a journey of innovation, collaboration, and impact, we welcome you to join our team. Let's shape the future together.
EOE