1

Metadata Jobs in Oregon (NOW HIRING)

Define and enforce metadata standards, data models, ontologies, and data dictionaries to enable scalable search, analytics, and cross-system integration. * Oversee implementation of end-to-end data ...

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 ...

OR

$65K - $81K/yr

The ideal candidate will have a deep understanding of metadata enrichment, data lineage and data cataloging. This position reports to the Senior Manager, Software Engineering Data Governance for the ...

Musixmatch is the leading music metadata company, featuring the world's largest lyrics catalog and a community of over 80M contributors. Musixmatch is the trusted global partner of companies like ...

OR · On-site

$75K - $113K/yr

Apply and validate metadata tagging in accordance with defined schemas and standards * Review extracted data fields and flag inconsistencies or missing values for correction Intelligent Document ...

Senior Data Platform Engineer

OR · On-site +1

$105K - $143K/yr

The team provides scalable infrastructure, metadata systems, and self-serve tooling that enable analysts, machine learning engineers, and product teams to work with Lakehouse data efficiently and ...

OR · Hybrid

Define practical metadata, profile, and validation requirements for infrastructure, simulation, and digital twin assets. * Partner with engineering, program, content, and contributor teams to improve ...

OR · Hybrid

$340K - $490K/yr

Define and implement robust data and systems models for live media assets, metadata, rights and restrictions, and timealigned events, with a focus on performance, reliability, and operability.

Senior Data Modeler

OR · On-site +1

Metadata and Business Glossary: Contribute to critical data element identification, business glossary development, and data dictionary maintenance. Help explore approaches to reduce manual cataloging ...

OR · Hybrid

$340K - $490K/yr

Define and implement robust data and systems models for live media assets, metadata, rights and restrictions, and timealigned events, with a focus on performance, reliability, and operability.

Optimize website content, metadata, and HTML elements to improve search engine rankings and enhance user experience. * Implement technical SEO best practices, including site speed optimization ...

OR · On-site

You'llalsoestablisha managed metadata repository and governance layers (catalog, lineage, quality, access controls) and deliver automated cloud provisioning plus CI/CD for data pipelines to enable ...

Optimize website content, metadata, and HTML elements to improve search engine rankings and enhance user experience. * Implement technical SEO best practices, including site speed optimization ...

next page

Showing results 1-20

Metadata information

See Oregon salary details

$8

$16

$30

How much do metadata jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for metadata in Oregon is $16.64, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $18.56 per hour, depending on experience, location, and employer.

What is the difference between Metadata vs Data Analyst?

AspectMetadataData Analyst
Required CredentialsKnowledge of data management, basic understanding of databasesBachelor's degree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness, finance, marketing teams
Employer & Industry UsageUsed across industries for data catalogingUsed in analytics, reporting, decision-making
Common Search & ComparisonUnderstanding data structureAnalyzing data for insights

Metadata involves managing data about data, such as descriptions and structure, while a Data Analyst interprets data to provide insights. Both roles are essential in data management but serve different functions within organizations.

What are metadata specialists?

Metadata specialists are professionals responsible for creating, managing, and maintaining metadata, which is data that describes and provides information about other data. They work to ensure that digital assets, documents, or datasets are accurately categorized, searchable, and retrievable by assigning standardized descriptions and tags. Metadata specialists often work in libraries, archives, museums, or organizations with large digital collections, and play a key role in data governance and information management.

What are 5 examples of metadata?

Metadata for a Metadata professional refers to data that describes other data, such as file size, creation date, author, file format, and keywords. These examples help organize, find, and manage digital information efficiently. Understanding and managing metadata is essential in data management, digital archiving, and information retrieval tasks.

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

To thrive as a Metadata Specialist, you need strong organizational skills, attention to detail, and knowledge of metadata standards and cataloging principles, often supported by a degree in library science, information science, or a related field. Familiarity with cataloging tools, metadata management systems, and standards like Dublin Core or MARC is typically required. Excellent communication, problem-solving abilities, and collaboration skills help you work effectively with cross-functional teams and stakeholders. These skills ensure accurate data organization and retrieval, which are critical for maintaining data integrity and supporting information discovery.

What are some typical challenges faced by metadata specialists when managing large datasets, and how can they be addressed?

Metadata specialists often encounter challenges such as inconsistent data standards, incomplete metadata entries, and integrating metadata from multiple sources. These issues can make it difficult to ensure data discoverability and usability. Addressing them typically involves establishing clear metadata standards, using automated tools for validation, and collaborating closely with data owners and IT teams to maintain consistency. Regular training and documentation updates also help in keeping metadata practices aligned across the organization.
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 jobs in Oregon? For Metadata jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Metadata jobs in Oregon look for? The top searched job categories for Metadata jobs in Oregon are:
What cities in Oregon are hiring for Metadata jobs? Cities in Oregon with the most Metadata job openings:

Palantir Data Pipeline & Metadata Lead

Guidehouse

OR

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

37th of 57 rated business consultants


Job description

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

Up to 25%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

This role serves as a senior technical leader responsible for establishing and scaling the data pipeline and metadata foundation that enables enterprise analytics, AI-driven capabilities, and system integration. The ideal candidate combines deep, demonstrable Palantir (including AIP) expertise, strong data architecture and governance experience, and the ability to lead teams and grow capabilities in complex, regulated environments.

Roles & Responsibilities

  • Lead the design, development, and governance of enterprise data pipelines and metadata frameworks within Palantir Foundry and integrated data platforms.
  • Serve as the technical and functional lead for data ingestion, transformation, and metadata management across structured and unstructured data sources.
  • Define and enforce metadata standards, data models, ontologies, and data dictionaries to enable scalable search, analytics, and cross-system integration.
  • Oversee implementation of end-to-end data pipelines, including ingestion, validation, transformation, and delivery into downstream platforms (e.g., Palantir, Databricks).
  • Establish and govern data quality, validation, and exception handling processes, ensuring completeness, accuracy, and traceability of data assets.
  • Ensure alignment of pipelines and metadata with enterprise architecture, system-of-record requirements, and integration patterns.
  • Ensure pipelines effectively support document-based ingestion workflows, including integration with OCR/ICR outputs and downstream metadata extraction processes.
  • Enable AI-ready data foundations, supporting downstream capabilities such as semantic search, entity resolution, and advanced analytics.
  • Partner with data science and engineering teams to ensure data pipelines and metadata support AI/ML use cases and analytical workflows.
  • Drive data governance and lifecycle management, including schema versioning, lineage tracking, auditability, and compliance with security and privacy requirements.
  • Oversee integration across platforms (e.g., AWS, Databricks, Palantir), ensuring scalable, secure, and reliable data exchange.
  • Lead and mentor teams in a matrixed, cross-functional environment, providing technical direction and quality oversight.
  • Engage with senior stakeholders to define data strategy, prioritize initiatives, and translate business needs into technical solutions.
  • Operate within an Agile delivery model, overseeing backlog prioritization, technical design reviews, and iterative delivery across workstreams.


What You Will Need:

  • Bachelor's degree
  • A Minimum of EIGHT (8) years of experience in data engineering, data architecture, or platform integration, with increasing leadership responsibility.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • Demonstrated, hands-on expertise in Palantir Foundry (required), including:
    • Designing and implementing production-grade data pipelines
    • Developing ontologies, data models, and relationship mappings
    • Integrating data across multiple enterprise systems
  • Demonstrated experience with Palantir AIP (required), including enabling AI-driven workflows (e.g., search, analytics, or decision-support use cases).
  • Proven experience leading enterprise-scale Palantir implementations, including architecture, delivery, and governance.
  • Strong experience designing and managing large-scale data pipelines in cloud environments (AWS preferred).
  • Experience integrating Palantir with Databricks and/or Spark-based platforms for advanced data processing and analytics.
  • Expertise in metadata management and data governance, including:
    • Data dictionaries and controlled vocabularies
    • Data lineage and traceability
    • Schema versioning and change management
  • Experience implementing data quality frameworks, including validation rules, exception handling, and reconciliation processes.
  • Strong understanding of data lake/lakehouse architectures (e.g., AWS S3, Databricks).
  • Proficiency in Python, SQL, and/or other relevant languages for data pipeline development.
  • Experience designing systems that support AI/ML and analytics use cases, including unstructured data and document processing pipelines (e.g., OCR/ICR outputs).
  • Strong leadership and communication skills, with experience managing cross-functional and matrixed teams.
  • Experience delivering complex solutions in an Agile environment.


What Would Be Nice To Have:

  • Experience growing or leading Palantir capabilities and engagements within the federal sector, particularly in health or human services domains.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred).
  • Experience designing AI-ready data architectures, including support for semantic search, entity resolution, and advanced analytics.
  • Experience with enterprise ML and data platforms (e.g., AWS SageMaker, Databricks Machine Learning) and integration with data pipelines.
  • Familiarity with OCR/ICR pipelines and document intelligence workflows, including integration of extracted text and metadata into downstream data platforms.
  • Experience implementing data governance frameworks in regulated environments, including auditability and compliance controls.
  • Prior experience working with federal agencies or highly regulated environments.
  • Experience in a consulting environment, including leading client engagements and supporting business development.
  • Experience supporting training, user enablement, and scaling Palantir/data capabilities across organizations.
  • Familiarity with graph-based data models, ontology-driven applications, and relationship analytics.
  • Relevant certifications (e.g., Palantir Foundry, AWS, Databricks) or equivalent demonstrated expertise.
The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


What Guidehouse employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom