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Metadata Manager Jobs in Seattle, WA (NOW HIRING)

Amaze Systems Inc

Retail Data Architect

Issaquah, WA · On-site

$73.50 - $94.50/hr

Strong understanding of data governance, metadata management, and data management principles. Experience with Google Cloud Platform database selection strategies and cloud-native architecture. Hands ...

The Walt Disney Company

Lead Product Manager

Seattle, WA · On-site

$159K - $213K/yr

Minimum 7 years of related work experience o Experience with multiple development methodologies, especially Scrum and Agile variants o Familiar with Data Catalogs, Metadata Management, Access ...

Axon

Senior Product Manager: Accounting Systems

Seattle, WA · On-site

$144K - $190K/yr

Establish governance processes for finance master data, chart of accounts structures, financial hierarchies, metadata management, security roles, and data quality controls. * Collaborate with ...

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Showing results 21-40

All JobsMetadata JobsMetadata Manager JobsMetadata Manager Jobs in Seattle, WA

Metadata Manager information

See Seattle, WA salary details

$31.3K

$93K

$156.5K

How much do metadata manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for metadata manager in Seattle, WA is $92,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $132,600.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

How does a metadata manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

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

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What is a metadata manager?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.

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

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

What are popular job titles related to Metadata Manager jobs in Seattle, WA?

For Metadata Manager jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Metadata Manager jobs in Seattle, WA look for?

The top searched job categories for Metadata Manager jobs in Seattle, WA are:

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

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

Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $92,950 per year, or $44.7 per hour.

Onsite Job: Sr. Computer / Data Architect Level 4

Indotronix International Corporation

Seattle, WA • On-site

$74 - $90/hr

Contractor

Re-posted 15 days ago

Job description

Indotronix is seeking an :Sr. Computer / Data Architect Level 4, Seattle, WA
 
Shifts: 1st shift, 7:00 AM to 4:00 PM
Is Clearance Required To Start?: No
Bachelor's degree and 9-12+ years of experience
Willingness to work off hours to coordinate with teams in Indi
 
Position Responsibilities:
Design, document, and maintain the Unified Data Model (UDM) artifacts and mappings.
Model process layers in the datalake, defining transformation responsibilities and lineage across layers.
Define and enforce rules for data processing, including routing tables, validation rules, enrichment logic, and error-handling policies.
Author and maintain schema definitions, attribute dictionaries, and change management processes for schema evolution.
Translate business and source system requirements into data transformation specifications to be implemented in Azure Databricks and downstream systems.
Collaborate with data engineers to design performant transformations, partitioning, and storage strategies in the datalake.
Review and approve data pipeline designs, ensuring adherence to UDM, governance, and security policies.
Work with DevOps and engineering teams to operationalize CI/CD for Databricks notebooks, jobs, and infrastructure-as-code.
Provide technical leadership and mentorship to data engineering teams, including remote collaboration with engineers located in India; coordinate design, implementation, and delivery across time zones (may require off-hour work).
Establish data quality metrics, monitoring, and remediation guidance; ensure traceability and lineage from source to consumption.
Participate in architecture and design reviews, code reviews, and agile ceremonies; drive best practices for data modeling and transformation.
Communicate architecture decisions and trade-offs to stakeholders, product owners, and engineering teams.
Basic Qualifications (Required Skill/Experience):
9+ years of experience in data architecture, data modeling, or related data engineering roles.
Proven experience designing and implementing Unified Data Models (UDM).
Strong expertise in Structured Query Language (SQL)
Strong expertise in data modeling across multiple process layers (raw/ingest, transformed, curated) and defining transformation logic.
Deep understanding of data governance, data lineage, metadata management, and data quality concepts.
Demonstrated experience with Databricks and building/architecting datalake solutions.
Experience defining schema evolution processes, new attribute definitions, and backward-compatible changes.
Experience authoring route tables, processing rules, and data routing/ingestion patterns.
Experience collaborating with geographically distributed engineering teams and willingness to work off hours to coordinate with teams in India.
Strong communication, documentation, and stakeholder engagement skills.
Preferred Qualifications (Desired Skills/Experience):
Prior experience in aviation, training analytics, or related operational data domains.
Experience with Azure Data Factory, Delta Lake, Unity Catalog, or equivalent data governance tools.
Familiarity with infrastructure-as-code and CI/CD practices for data pipelines (Terraform, Azure DevOps, GitOps).
Knowledge of streaming ingestion patterns, Kafka/Event Hubs, and near-real-time processing.
Experience with metadata platforms and data catalog tools (e.g., Purview, Alation).
Experience with containerization and orchestration (Docker, Kubernetes) is a plus.
Bachelor's or advanced degree in Computer Science, Information Systems, Engineering, or related field.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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