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Metadata Manager Jobs in California (NOW HIRING)

DataHub

Senior Platform Engineer

Palo Alto, CA · Hybrid

$225K - $300K/yr

Organizations needing machine-scale metadata management, not just human-browsable catalogs Why This Matters This is where infrastructure meets impact. The metadata layer you'll build will directly ...

Apple

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Build AI-ready datasets through ground truth creation, data curation, annotation workflows, dataset versioning, and metadata management. Develop data quality frameworks, validation pipelines ...

DataHub

Staff, Backend Engineer - Catalog

Palo Alto, CA · On-site

$225K - $300K/yr

Organizations needing machine-scale metadata management, not just human-browsable catalogs Why This Matters This is where infrastructure meets impact. The metadata layer you'll build will directly ...

Apple

AI Data Platform Engineer

Cupertino, CA

$150K - $277K/yr

Build scalable platform capabilities for managing the end-to-end AI data lifecycle, including ground truth dataset creation, dataset versioning, metadata and lineage management, automated data ...

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All JobsMetadata JobsMetadata Manager JobsMetadata Manager Jobs in California

Metadata Manager information

See California salary details

$27.1K

$80.6K

$135.7K

How much do metadata manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for metadata manager in California is $80,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $115,000.00 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 California? The most popular types of Metadata jobs in California are:
What are popular job titles related to Metadata Manager jobs in California? For Metadata Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in California look for? The top searched job categories for Metadata Manager jobs in California are:
What cities in California are hiring for Metadata Manager jobs? Cities in California with the most Metadata Manager job openings:
Metadata Manager jobs near you
Infographic showing various Metadata Manager job openings in California as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Temporary, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $80,607 per year, or $38.8 per hour.

Senior Platform Engineer

DataHub

Palo Alto, CA • Hybrid

$225K - $300K/yr

Other

Re-posted 18 days ago

Job description

The Challenge

As AI and data products become business-critical, enterprises face a metadata crisis:

  • No unified way to track the complex data supply chain feeding AI systems
  • Engineering teams struggling with data discovery, lineage, and governance
  • Organizations needing machine-scale metadata management, not just human-browsable catalogs
Why This Matters

This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide.

The Role

We're looking for an exceptional Python engineer to lead development of DataHub's ingestion framework - the core that connects diverse data systems and powers our metadata collection capabilities.

You'll Build
  • Scalable, fault-tolerant ingestion systems for enterprise-scale metadata
  • Clean, intuitive APIs for our connector ecosystem
  • Event-driven architectures for real-time metadata processing
  • Schema mapping between diverse systems and DataHub's unified model
  • Versioning systems for AI assets (training data, model weights, embeddings)
You Have
  • 4+ years building production-grade distributed systems
  • Advanced Python expertise with a focus on API design
  • Experience with high-scale data processing or integration frameworks
  • Strong systems knowledge and distributed architecture experience
  • A track record of solving complex technical challenges
Bonus Points
  • Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
  • Open-source contributions
  • Early-stage startup experience
Location and Compensation

Bay Area (hybrid, 3 days in Palo Alto office)

Salary Range: $225,000 to $300,000
DataHub is an equal opportunity employer committed to workplace diversity and inclusion. We provide equal employment opportunities to all employees and applicants without regard to race, religious creed, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, military and veteran status, or any other characteristic protected by federal, state, or local law.

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