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Collibra Jobs in California (NOW HIRING)

Stefanini

Technical Analyst

San Francisco, CA · On-site

Databricks AND (R or sparklyr) OR (Pyspark or Python)Databricks AND (Starburst OR Tableau)Databricks AND (Collibra OR Altreyx) HANDS-ON Experience for the following:Databricks -Pyspark, Data Quality ...

Axos Bank

Data Product Manager

San Diego, CA · On-site

... with Collibra and platform teams to ensure compliance and discoverability. • Champion AI-assisted development and automation (e.g., dbt auto-tests, Databricks notebooks, CI/CD intelligence ...

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$88

How much do collibra jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for collibra in California is $61.86, according to ZipRecruiter salary data. Most workers in this role earn between $52.02 and $68.03 per hour, depending on experience, location, and employer.

What does a Collibra specialist or administrator do?

A typical day as a Collibra specialist involves configuring and maintaining the Collibra platform, developing workflows, onboarding users, and collaborating with data stewards, analysts, and IT teams to manage metadata and ensure data governance policies are enforced. You may also troubleshoot user issues, document best practices, and support team training. Many Collibra professionals participate in regular meetings to align on data quality initiatives and integration projects across the business. The role offers variety by blending technical platform work with stakeholder engagement, making it ideal for those who enjoy both technical challenges and teamwork.

Is Collibra a good place to work?

Collibra offers roles such as data governance and data management specialists, often requiring skills in data tools and collaboration. The company is known for a collaborative work environment and opportunities for professional development, making it a generally positive workplace for those interested in data-related roles.

What skills and qualifications are needed for a Collibra position?

To excel in a Collibra specialist or administrator role, a solid understanding of data governance concepts, metadata management, and familiarity with Collibra’s Data Intelligence platform is essential, often supported by a degree in computer science or a related field. Proficiency with Collibra tools, integration technologies (such as APIs), and sometimes Collibra certification is highly valued. Strong problem-solving, stakeholder management, and communication skills help drive adoption and facilitate cross-functional collaboration. These competencies are critical for enabling organizations to maximize data quality, compliance, and overall data-driven decision-making.

What is a Collibra?

A Collibra job typically involves working with Collibra's data governance platform to manage data assets, ensure compliance, and improve data quality. Professionals in this role configure workflows, manage metadata, and facilitate collaboration between data stewards, analysts, and business users. Common job titles include Collibra Developer, Collibra Administrator, and Data Governance Analyst. These roles require expertise in data governance principles, Collibra implementation, and integration with other data management tools.

What are the most commonly searched types of Collibra jobs in California? The most popular types of Collibra jobs in California are:
What are popular job titles related to Collibra jobs in California? For Collibra jobs in California, the most frequently searched job titles are:
What job categories do people searching Collibra jobs in California look for? The top searched job categories for Collibra jobs in California are:
What cities in California are hiring for Collibra jobs? Cities in California with the most Collibra job openings:
Collibra jobs near you
Infographic showing various Collibra job openings in California as of August 2026, with employment types broken down into 79% Full Time, 1% Temporary, and 20% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $128,676 per year, or $61.9 per hour.

Enterprise Platform Coordinator - Data Governance & AI

ClearBridge Technology Group

San Francisco, CA • On-site

Other

Re-posted 3 days ago

Job description

Our client, a technology solutions provider company located in San Francisco, CA, needs an Enterprise Platform Coordinator for permanent employment. The Enterprise Platform Coordinator will work 4 days a week onsite in San Francisco, and focus on ensuring that data is trusted, well-defined, and meets internal/regulatory expectations. The position leads governance platform capabilities across Collibra, Atlan, Alation, and Manta, driving metadata management, lineage transparency, policy governance, conceptual data modeling, and AI governance initiatives. The role partners closely with business leaders, data teams, and Risk/Compliance functions to integrate governance into enterprise processes and enable analytics and AI programs in a secure, governed, and compliant manner.
Required Skills:
  • 10+ years of experience in data governance, information management, or enterprise data platform environments.
  • 3+ years of experience delivering AI-powered capabilities and enabling AI use cases within governed data environments and enterprise data landscapes.
  • 3+ years of experience with AI governance frameworks, metadata-centric AI enablement, and control mechanisms supporting responsible and compliant AI deployment.
  • 3+ years of experience navigating data privacy regulations and compliance obligations, including GDPR and CCPA.
  • Bachelor's or Master's degree in Computer Science, Information Technology, Data Management, or a related field.

Desired Skills:
  • Professional certification in data governance or data management, such as DAMA Certified Data Management Professional (CDMP).
  • Practical experience working with governance and metadata management platforms, including Collibra, Atlan, Alation, or Manta.
  • Proven success driving enterprise-wide governance adoption and organizational change initiatives.
  • Experience enabling AI, analytics, and metadata-driven programs through well-governed and trusted data assets.
  • Knowledge of responsible AI practices, AI metadata frameworks, and governance controls supporting enterprise AI deployment.

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