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Metadata Manager Jobs in Arizona (NOW HIRING)

Data Fabric Architect

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Strong background in data modeling, semantic layers, and metadata management * Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines * Knowledge of Azure ...

... metadata management, semantic layers, and domain-driven data product strategies * Bachelor's degree * Ability to travel 50%, on average, based on the work you do and the clients and industries ...

... metadata management, semantic layers, and domain-driven data product strategies * Bachelor's degree * Ability to travel 50%, on average, based on the work you do and the clients and industries ...

Drive implementation and adoption of automated data quality controls, monitoring capabilities, metadata management, and data governance tooling * Establish and monitor domain-level KPIs, quality ...

GCP Data Engineer

Phoenix, AZ · On-site

$111K - $133K/yr

... and Metadata Management Ability to work independently solve problems update the stake holders Analyze design develop and deploy solutions as per business requirements Strong understanding of ...

... Manager oversees the organization's data lifecycle, ensuring data integrity, security, and ... Lead efforts to improve data accessibility and usability through data cataloging and metadata ...

Drive implementation and adoption of automated data quality controls, monitoring capabilities, metadata management, and data governance tooling * Establish and monitor domain-level KPIs, quality ...

Cloud Security Engineer

Phoenix, AZ · On-site

$120K - $130K/yr

... metadata management, or certification/governance workflows Experience with cloud security posture management (CSPM) platforms By providing your phone number, you consent to: (1) receive automated ...

Manage and process inbound requests through the ticketing system queue, ensuring work is actively ... Create and maintain part numbers and associated metadata in the engineering system (e.g., Agile/PLM)

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Showing results 1-20

Metadata Manager information

See Arizona salary details

$25.6K

$76.1K

$128.1K

How much do metadata manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for metadata manager in Arizona is $76,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $108,600.00 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 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 the most commonly searched types of Metadata jobs in Arizona? The most popular types of Metadata jobs in Arizona are:
What are popular job titles related to Metadata Manager jobs in Arizona? For Metadata Manager jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Arizona look for? The top searched job categories for Metadata Manager jobs in Arizona are:
What cities in Arizona are hiring for Metadata Manager jobs? Cities in Arizona with the most Metadata Manager job openings:
Infographic showing various Metadata Manager job openings in Arizona as of June 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $76,113 per year, or $36.6 per hour.

Data Fabric Architect

Prophecy Technologies

Phoenix, AZ • On-site

$63.25 - $81.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role: Data Fabric Architect - Generative AI / RAG / Microsoft Fabric
Location: Phoenix, AZ / Philadelphia, PA
Competencies
Must-Have:
  • Proven experience as a Data Architect with strong expertise in Data Fabric frameworks
  • Hands-on experience with Microsoft Fabric Notebooks for data integration, orchestration, and analytics
  • Deep understanding of Generative AI architectures and Retrieval-Augmented Generation (RAG) pipelines
  • Strong background in data modeling, semantic layers, and metadata management
  • Proficiency in Python, SQL, and data engineering tools for building and optimizing data pipelines
  • Knowledge of Azure Data Platform components (Synapse, Data Factory, Data Lake, Power BI, etc.)
  • Ability to design end-to-end AI-driven data architectures integrating structured and unstructured data sources

Good-to-Have:
  • Experience implementing LLM-based solutions for data retrieval, summarization, and knowledge extraction
  • Familiarity with vector databases (e.g., Pinecone, Chroma, FAISS) for RAG-enabled systems
  • Exposure to AI orchestration frameworks such as LangChain or Semantic Kernel
  • Strong understanding of data security, governance, and lineage in enterprise environments
  • Excellent collaboration and communication skills to engage with data science, AI, and business teams

Responsibilities
  • Design and implement Data Fabric architecture supporting Generative AI and RAG workflows
  • Develop Fabric Notebook solutions for data integration, analysis, and orchestration
  • Architect and optimize data pipelines to serve AI/ML workloads efficiently
  • Collaborate with data scientists and ML engineers to integrate RAG-based systems into enterprise platforms
  • Build and manage knowledge retrieval layers leveraging vector databases and embeddings
  • Define standards for data governance, quality, and observability across the AI data ecosystem
  • Ensure scalability, security, and performance of AI-driven data solutions in Azure environments
  • Stay current with emerging GenAI tools and frameworks to continuously evolve architecture strategies