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Master Data Manager Jobs in Seattle, WA (NOW HIRING)

Deep expertise in S/4HANA PP processes, master data, MRP types, lot-sizing, backflush, stock ... Hands-on exposure to PPDS, ECM/OCM, batch handling, serial number management . * Experience ...

Data Architect

Bellevue, WA · On-site

$71.50 - $92/hr

... management, master data management, data quality, and lineage. • Experience collaborating with security and infrastructure teams to implement compliant, secure data architectures. • Excellent ...

Master's or Ph.D. in Computer Science, Data Science, Engineering, AI/ML, or a related field - or ... Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and ...

Master's degree preferred. * Minimum 10 years of clinical data management experience within the pharmaceutical, biotechnology, or CRO industry. * At least 5 years of leadership experience managing ...

We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and ... A bachelor's, master's, or doctoral degree in a quantitative or technical field is welcome, but we ...

The Opportunity As part of the Data Management team, you architect and manage master data management solutions to enhance business processes. As a Senior Manager, you lead large projects and innovate ...

Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. * Demonstrate a ...

Showing results 41-60

Master Data Manager information

See Seattle, WA salary details

$35.3K

$110.6K

$195.7K

How much do master data manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for master data manager in Seattle, WA is $110,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,100.00 and $142,800.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are the most commonly searched types of Master Data jobs in Seattle, WA?

The most popular types of Master Data jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Master Data Manager jobs?

Cities near Seattle, WA with the most Master Data Manager job openings:

Infographic showing various Master Data Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 78% Full Time, 4% Part Time, and 18% Contract. Highlights an 93% In-person, 4% Hybrid, and 3% Remote job distribution, with an average salary of $110,553 per year, or $53.2 per hour.

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Must Have Technical/Functional Skills
We are seeking a highly skilled Senior Data Management Engineer with a strong background in Master Data Management (MDM) and hands-on experience implementing solutions within the Amazon Web Services (AWS) cloud ecosystem. In this role, you will design, develop, and implement MDM solutions to create a single source of truth (Golden Record) for Customer, Product, or Vendor domains. You will be a key contributor in integrating MDM platforms with AWS native services, building automated data pipelines, and ensuring data quality across the enterprise.
Roles & Responsibilities
Key Responsibilities:
• MDM Solution Implementation: Lead the end-to-end design, configuration, and implementation of MDM platforms (e.g., Reltio).
AWS Cloud Integration: Architect and maintain integrations between MDM systems and AWS services (S3, Lambda, Glue, Redshift, Dynamo, MSK/Kinesis) to ensure scalable data ingestion and distribution.
Data Modeling & Quality: Design master data models, define match/merge rules, survivorship, and data quality checks.
Data Pipeline Engineering: Build and optimize ETL/ELT pipelines to transform source data into MDM-ready structures.
Collaboration: Work with data stewards, business analysts, and architects to translate business requirements into technical MDM solutions.
Informatica MDM knowledge or experience is preferred and will be considered an added advantage
Qualifications:
• Technical Skills:
• Reltio MDM: Hands-on experience with Reltio MDM
• AWS Services: Hands-on experience with AWS services / cloud
• Programming: Proficiency in Python; SQL for data manipulation and transformation.
• Data Wrangling: Experience with data preparation, feature engineering, and data transformation.
• Problem Solving: Strong analytical and problem-solving skills, with a focus on translating business questions into data science problems.
• Communication: Ability to communicate complex results clearly to both technical and non-technical stakeholders.
Experience: 10+ years of experience in Master Data Management (MDM) implementations, with at least 2-3 years hands-on experience in a cloud-native environment.
MDM Tools: Strong experience with industry-leading MDM tools (e.g., Reltio).
AWS Proficiency: Proven hands-on experience with AWS services including S3, Lambda, Glue, Redshift, IAM, and API Gateway.
Programming/Scripting: Proficiency in Python and advanced SQL for data manipulation and automation.
Data Governance: Solid understanding of data stewardship, data lineage, and data quality principles.
Data Modeling: Experience in relational database modeling and JSON/XML data formats.
Methodologies: Experience working within Agile/Scrum teams.
Preferred Qualifications:
AWS Certification (e.g., AWS Certified Data Analytics Specialty, Solutions Architect) is plus.
Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or a related field
Generic Managerial Skills, If any
• Working on dynamic environment
• Problem Solving skills
• Solve the ambiguity and work in complex enviro nment
Base Salary Range : $120,000 to $150,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.