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Metadata Manager Jobs in Oregon (NOW HIRING)

$200K/yr

Establish engineering best practices for ETL/ELT development, data quality, lineage, metadata management, documentation, and operational monitoring. Drive sprint planning, backlog prioritization, and ...

New

Execute metadata management activities such as cataloging, lineage capture, and stewardship workflows. * Partner with business teams to draft and maintain business rules, definitions, and data ...

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Strong understanding of metadata management, data ownership, stewardship, data quality, lineage, issue management, and data governance operating models. * Ability to mentor junior consultants and ...

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Attain Partners is seeking a Senior Collibra Consultant to lead client-facing Collibra implementation work across data governance, metadata management, data catalog, business glossary, workflow, and ...

Overview LMI is seeking a skilled Data Management Engineer to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and ...

$54.75 - $71/hr

Support data lineage, metadata management, and master data initiatives. * Ensure compliance with data privacy, security, and regulatory requirements. * Proactively identify and address data quality ...

New

Overview LMI is seeking a skilled Senior Data Scientist to support Army logistics data management through enterprise data governance, data quality, data modeling, metadata management, and executive ...

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$67.25 - $90/hr

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Partner with Data Governance teams on metadata, lineage, stewardship, business glossary, master data management (MDM), and data quality. * Optimize platform scalability, performance, reliability ...

OR · On-site

Musixmatch is the leading music metadata company, featuring the world's largest lyrics catalog and ... Position: We are looking for an AI-First Product Manager to join our Catalog team. In this role ...

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Lead enterprise metadata management, business glossary, lineage, catalog, and reference data initiatives. * Define enterprise master data strategy, master data domains, survivorship rules, and ...

Draft, publish, and maintain standards covering data quality, metadata management, privacy, security, access controls, classification, and retention * Partner with Legal, Privacy, Information ...

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$110K - $140K/yr

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Familiarity with data governance concepts, including data quality, metadata management, lineage, and stewardship. * Experience with process modeling or diagramming tools (e.g., Visio). * Exposure ...

Support metadata management, governance frameworks, and compliance requirements. * Define monitoring and operational metrics for platform and product performance. Analytics & Business Insights * Work ...

New

Knowledge of data governance, metadata management, lineage, classification, and data quality frameworks. * Experience designing data solutions that support enterprise AI, machine learning, analytics ...

Experience with data cataloging, metadata management, and lineage tracking platforms * Understanding of modern data formats and storage approaches including Parquet, Iceberg, and Delta Lake * Deep ...

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Showing results 1-20

Metadata Manager information

See Oregon salary details

$29.1K

$86.4K

$145.4K

How much do metadata manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for metadata manager in Oregon is $86,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,900.00 and $123,200.00 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 Oregon?

The most popular types of Metadata jobs in Oregon are:

What are popular job titles related to Metadata Manager jobs in Oregon?

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

What job categories do people searching Metadata Manager jobs in Oregon look for?

The top searched job categories for Metadata Manager jobs in Oregon are:

Infographic showing various Metadata Manager job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $86,355 per year, or $41.5 per hour.

$200K/yr

Full-time

Posted 3 days ago

New


Job description

Job Description Our client, a rapidly growing wealth management and financial services firm, is seeking a Data Engineering Manager to lead the development and evolution of its enterprise data platform. This is a highly technical leadership role best suited for a hands-on engineering leader who enjoys mentoring teams while remaining deeply involved in architecture, coding, and solution design. The ideal candidate will bring extensive Python expertise, a strong background in modern data engineering, and experience building scalable data platforms that support analytics, reporting, and AI initiatives.

Key Responsibilities Lead, mentor, and develop a team of Data Engineers supporting enterprise reporting, analytics, AI, and data science initiatives. Design, build, and maintain scalable data pipelines, workflows, data models, and enterprise data architecture. Establish engineering best practices for ETL/ELT development, data quality, lineage, metadata management, documentation, and operational monitoring.

Drive sprint planning, backlog prioritization, and technical execution across multiple concurrent projects. Develop automated data quality frameworks, validation processes, monitoring, reconciliation, and alerting to ensure data accuracy and reliability. Partner closely with Analytics, Operations, and business stakeholders to translate business requirements into scalable data solutions.

Identify opportunities to improve platform performance, scalability, automation, and operational efficiency. Provide technical leadership through architecture reviews, code reviews, and engineering best practices while remaining an active contributor to development efforts. Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.

8-12+ years of experience in data engineering, analytics engineering, or enterprise data platform development. 3-5+ years of experience leading engineering teams or serving as a technical lead. Experience building enterprise data platforms supporting analytics, reporting, and business intelligence.

Background in financial services, consulting, or high-growth technology organizations is preferred. Excellent leadership, communication, problem-solving, and stakeholder management skills. Technical Skills Expert-level proficiency in Python (required); this role is highly hands-on and requires deep technical expertise.

Advanced experience with SQL and DBT. Strong expertise designing and maintaining scalable ETL/ELT pipelines and modern data architectures. Deep understanding of data modeling, transformation frameworks, metadata management, and enterprise data quality practices.

Experience implementing automated monitoring, validation, reconciliation, and operational tooling. Familiarity with cloud-based data platforms and modern analytics ecosystems. Compensation & Schedule Full-time Hybrid schedule (4 days onsite) Location: Austin, TX or Miami, FL Compensation up to $200,000, depending on experience Interview process includes two virtual interviews followed by a final onsite interview.