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Metadata Curator Jobs in California (NOW HIRING)

TEKsystems

Cloud Data Architect

San Jose, CA

$60 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data lineage and metadata automation experience * CI/CD and modern data platform practices * Data ... Define scalable and reusable data frameworks for ingestion, curation, transformation, and ...

Agilent

AI Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

AI-built curation in practice: deploying metadata generation, entity resolution, and content classification agents against thedomain'sdata, contributing those outputs to the registry. * Reusable ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... metadata normalization, and feature name harmonization * Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies * Produce structured ...

Mithrl

Bioinformatics Engineer, Pipelines

San Francisco, CA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... metadata normalization, and feature name harmonization * Work with the Knowledge Curation Team to align outputs with reference genomes, annotations, and biological ontologies * Produce structured ...

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Showing results 21-40

All JobsMetadata Curator JobsMetadata Curator Jobs in California

Metadata Curator information

See California salary details

$25.2K

$71.7K

$117.9K

How much do metadata curator jobs pay per year?

As of Aug 20, 2026, the average yearly pay for metadata curator in California is $71,675.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $92,800.00 per year, depending on experience, location, and employer.

What is a metadata curator?

Metadata Curators are professionals responsible for organizing, managing, and maintaining metadata, which is data that describes other data. They ensure that information about digital assets—such as documents, images, or datasets—is accurate, consistent, and easily searchable. Their work helps improve data discoverability, interoperability, and long-term access in libraries, archives, museums, and digital repositories. Metadata Curators often collaborate with data creators and users to establish and apply metadata standards. Their expertise is essential for effective data management and information retrieval.

What skills and qualifications are needed to be a metadata curator?

To thrive as a Metadata Curator, you need expertise in information science, data management, and taxonomy development, often supported by a degree in library science or a related field. Familiarity with metadata standards (like Dublin Core or MARC), cataloging software, and data repository systems is typically required. Attention to detail, analytical thinking, and strong organizational and communication skills help ensure accurate and consistent metadata creation. These skills are crucial for making data easily discoverable, interoperable, and usable across digital platforms.

What challenges do metadata curators face when standardizing data from multiple sources?

Metadata Curators often encounter the challenge of integrating and standardizing data from diverse sources, which may use varying formats, terminologies, or metadata schemas. Ensuring consistency, accuracy, and completeness across these datasets requires close attention to detail and a solid understanding of metadata standards. Collaborating with data providers and technical teams is crucial to resolve discrepancies and establish clear guidelines for metadata management. Adapting to evolving data standards and maintaining documentation are also key aspects of the role.

What is the difference between Metadata Curator vs Data Analyst?

AspectMetadata CuratorData Analyst
Required CredentialsBachelor's in Library Science, Information Management, or related fields; familiarity with metadata standardsBachelor's in Statistics, Data Science, or related fields; proficiency in data analysis tools
Work EnvironmentLibraries, archives, museums, digital repositoriesBusiness, finance, healthcare, tech companies
Employer & Industry UsageOrganizations managing digital assets and information resourcesOrganizations analyzing data to inform decisions
Common Search & Comparison IntentUnderstanding roles related to managing metadata and digital contentUnderstanding roles focused on analyzing and interpreting data

While both roles involve working with data, a Metadata Curator primarily manages and organizes metadata for digital assets, ensuring accurate description and discoverability. A Data Analyst interprets data sets to provide insights and support decision-making. The roles often overlap in data management but differ in focus and industry application.

What are popular job titles related to Metadata Curator jobs in California?

For Metadata Curator jobs in California, the most frequently searched job titles are:

What job categories do people searching Metadata Curator jobs in California look for?

The top searched job categories for Metadata Curator jobs in California are:

What cities in California are hiring for Metadata Curator jobs?

Cities in California with the most Metadata Curator job openings:

Metadata Curator jobs near you
Infographic showing various Metadata Curator job openings in California as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $71,675 per year, or $34.5 per hour.

Senior Cloud Data Architect

Innovatix Technology Partners

San Jose, CA • On-site

$78.75 - $105.50/hr

Other

Posted 29 days ago

Job description

Role: Senior Cloud Data Architect

Duration: 12+ months

Location: San Jose, CA (Onsite)

Job Description:

The Senior Cloud Data Architect is a hands-on role responsible for designing, evolving, and optimizing the organization’s cloud-based data architecture. This individual will shape the technical foundation for scalable, secure, and well-governed data systems that power analytics, AI, and enterprise intelligence. As an individual contributor, the architect partners closely with data engineers, analysts, product teams, and cloud specialists to design end-to-end solutions—spanning ingestion, transformation, storage, metadata, and consumption. The ideal candidate brings deep technical expertise in data architecture, metadata design, and cloud-native data services, coupled with a keen ability to translate complex requirements into elegant, maintainable designs.

Core Responsibilities

Cloud Data Architecture & Strategy Architect and optimize cloud-based data lakehouse and warehouse solutions that support analytics, machine learning, and enterprise integration needs.

Define scalable and reusable data frameworks for ingestion, curation, transformation, and consumption.

Evaluate and integrate Azure cloud services (e.g., Databricks, Data Lake, Event Hubs) to deliver high-performance data solutions.

Implement architectural standards that ensure consistency, interoperability, security, and compliance across the data environment.

Partner with engineering and business stakeholders to align architectural decisions with organizational objectives and KPIs.

Drive architectural reviews, proof-of-concepts, and recommendations for future-state cloud data patterns.

Metadata, Governance & Lineage Design and operationalize metadata-driven architectures that improve discoverability, lineage tracking, and data quality monitoring.

Collaborate with governance and engineering teams to implement active metadata approaches, enabling dynamic data cataloging and lineage visibility across pipelines.

Define and enforce standards for metadata capture, schema management, and classification in alignment with enterprise data governance policies.

Integrate data catalog tools and frameworks (e.g., Unity Catalog, Purview, or Collibra) with cloud ecosystems for automated metadata flow.

Ensure consistent application of metadata structures across ingestion, transformation, and consumption layers.

Diagramming, Documentation & Technical Clarity Produce detailed architecture artifacts, including data flow diagrams, system blueprints, and logical/physical data models.

Communicate technical concepts clearly through visualization tools like Lucidchart, Visio, or Draw.io.

Maintain robust documentation of architecture decisions, integration patterns, and system dependencies.

Support cross-functional collaboration by sharing architecture roadmaps and data lineage documentation.

Hands-On Implementation & Optimization Contribute to the design and implementation of distributed data pipelines using Databricks, and Spark Apply advanced optimization principles for performance, cost, and scalability across compute and storage layers.

Troubleshoot data latency, integrity, and transform issues across multi-environment pipelines.

Implement modernization best practices such as CI/CD automation, schema evolution management, and pipeline observability.

Partner with DevOps and platform teams to ensure maintainability and resilience of deployed solutions.

Qualifications

4-year Bachelor’s degree in Computer Science (strict requirement).

7+ years of professional experience in data engineering, architecture, or enterprise analytics platforms, including at least 3+ years focused on cloud data architecture.

Proven experience designing and implementing Azure-based data solutions, including Data Lake, Data Factory, Synapse, and Databricks.

Strong understanding of data modeling, schema design, and metadata management within large-scale data platforms.

Hands-on expertise with distributed data processing framework

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