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Metadata Manager Jobs in Spokane, WA (NOW HIRING)

Corporate Tools

YouTube Channel Manager

Post Falls, ID · On-site +1

$90K/yr

Script, coordinate production, post-production, upload, optimize metadata & thumbnails. * Use data ... Manage community: reply to comments, surface feedback, maintain a tone that's helpful, witty, and ...

E Logic

Geospatial Specialist

Spokane, WA · On-site

$70K/yr

... metadata. Qualifications & Requirements * Must be a US Citizen or clearable for government ... Creating/editing shapefiles and managing attribute tables. * Extracting geologic and mineral ...

Pitzer College

Pitzer Photographer

Mead, WA · On-site

... management skills * Ability to work flexible hours, including evenings and weekends Preferred Qualifications: * Experience supervising or mentoring student employees * Familiarity with metadata ...

All JobsMetadata Manager JobsMetadata Manager Jobs in Spokane, WA

Metadata Manager information

See Spokane, WA salary details

$27.8K

$82.6K

$139K

How much do metadata manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for metadata manager in Spokane, WA is $82,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $117,800.00 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 are Metadata Managers?

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 popular job titles related to Metadata Manager jobs in Spokane, WA? For Metadata Manager jobs in Spokane, WA, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Spokane, WA look for? The top searched job categories for Metadata Manager jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Metadata Manager jobs? Cities near Spokane, WA with the most Metadata Manager job openings:
Metadata Manager jobs near you

Senior Solution Architect, Data & AI

Cambridge Swinerton Builders

Spokane, WA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Compensation Range:

$150,000.00 - $200,000.00 Annual Salary

Job Description Summary:

We are seeking a Senior Solution Architect to design, build, and evolve Swinerton's enterprise data and AI platform, ensuring it is technically strong, AIready, and tightly aligned to business outcomes. This role combines handson implementation with strategic foresight - guiding the selection and integration of data, AI/ML, and agent platforms to create scalable, trusted foundations that support future growth and innovation.

Job Description:

Essential Responsibilities:

Enterprise Data & AI Architecture Design & DecisionMaking: Define, review, and refine data and AI architecture designs to support analytics, AI/ML, and agentbased use cases. Participate in architecture discussions and decisions to ensure alignment with enterprise architecture standards, security requirements, and business priorities.

AI/ML and Agent Platform Design & Enablement: Design and review platform components supporting AI/ML and agentbased solutions, including model management, feature stores, vector and graph databases, metadata management, and orchestration frameworks. Guide weekly technical decisions related to platform scalability, reuse, and integration.

Solution Design Collaboration & Reviews: Work with business partners, data engineers, data scientists, and analysts to translate requirements into architectural blueprints and implementation plans. Participate regularly in design sessions, solution reviews, and tradeoff discussions to ensure secure and scalable outcomes.

AIReady Data Architecture Enablement: Collaborate with engineering and BTech teams to ensure data is discoverable, trusted, and structured to support AI and analytics use cases. Review approaches for metadata, governance integration, unstructured data handling, and orchestration patterns.

HandsOn Architectural Implementation & Validation: Perform handson architectural implementation and validation to derisk designs and unblock delivery teams.

Architecture Governance & Design Reviews: Lead recurring architecture reviews and design checkpoints. Maintain and apply architectural standards, reference patterns, and architectural decision records to guide consistent delivery across initiatives.

CrossFunctional Advisory & Stakeholder Engagement: Serve as an ongoing technical advisor to crossfunctional teams through regular meetings, reviews, and working sessions. Provide guidance on architectural options, risks, and tradeoffs.

Architecture Documentation & Knowledge Sharing: Create and update architecture diagrams, standards, and reference materials as part of ongoing solution work. Share architectural guidance with teams to support reuse and consistency.

Technology Evaluation & Design Exploration: Evaluate tools, patterns, or approaches relevant to active or upcoming initiatives. Review vendor capabilities, platform features, or architectural patterns to inform nearterm and future solution decisions.

Continuous Architecture Improvement: Identify and raise opportunities to simplify designs, reduce technical debt, or modernize platform approaches as part of regular solution work.

Minimum Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8+ years of experience in data architecture, solution architecture, or enterprise architecture roles.
  • Strong architectural and handson experience with modern data platforms, cloud infrastructure, analytics ecosystems, and agent-based systems.
  • Experience architecting solutions across structured and unstructured data, including realtime and sensordriven use cases (e.g., IIoT, geospatial, drone data).
  • Handson experience designing and implementing solutions on modern data platforms (e.g., Databricks, Snowflake, Azure Data Services, or similar).
  • Handson experience enabling AI/ML and agentbased solutions within enterprise platforms, including model management, agent orchestration, and lifecycle considerations (e.g., LangChain, AutoGen, Semantic Kernel, Microsoft AI Foundry).
  • Strong communication and stakeholder engagement skills.

Summary of Benefits:

This role is eligible for the following benefits:medical, dental, vision, 401(k) with company matching, Employee Stock Ownership Program (ESOP), individual stock ownership, paid vacation, paid sick leave, paid holidays, bereavement leave, employee assistance program, pre-tax flexible spending accounts, basic term life insurance and AD&D, business travel accident insurance, short and long term disability, financial wellness coaching, educational assistance, Care.com membership, ClassPass fitness membership, and DashPass delivery membership. Voluntary benefits include additional term life insurance, long term care insurance, critical illness and accidental injury insurance, pet insurance, legal plan, identity theft protection, and other voluntary benefit options.

Anticipated Job Application Deadline:

07/06/2026

Apply