Companies that use Collibra

Source: Analysis of 100 job postings that mention Collibra

My analysis shows that Directors of Data Management lead purchasing decisions for Collibra, representing 27% of roles, followed by Data Management Specialists at 19% and Data Engineers at 13%. These leaders sit within IT, analytics, and enterprise data organizations, reporting to Chief Data Officers or VPs of Technology. Their strategic priorities center on modernizing data platforms, establishing enterprise governance frameworks, and enabling AI and analytics capabilities. They're building data teams from the ground up, with many postings emphasizing transformational mandates around turning data into strategic assets.

The day-to-day users are data stewards, governance analysts, data quality specialists, and metadata managers who operationalize Collibra's catalog and governance features. These practitioners maintain business glossaries, document data lineage, implement data quality rules, manage metadata across domains, and coordinate with data owners. They use Collibra to make data discoverable, ensure compliance with regulations like GDPR and HIPAA, and support self-service analytics initiatives. Several postings specifically mention Collibra configuration, integration with platforms like Snowflake and Databricks, and workflow customization.

The pain points revolve around fragmented data landscapes and regulatory pressures. Companies want to ensure data is "trusted, compliant, discoverable, and aligned with business strategy" and enable "consistent, high-quality, and business-aligned reporting." Many emphasize the need to "treat data as a strategic asset" and establish "consistent data definitions, quality rules and metadata management" across disparate systems. The underlying goal is accelerating digital transformation and AI adoption while maintaining governance and trust.

Source: Analysis of tech stacks from 397 companies that use Collibra

I noticed that Collibra users are clearly large, mature enterprises with complex data governance needs and significant investment in enterprise-wide digital operations. The combination of tools like NexThink for digital employee experience, Apptio for technology business management, and Adobe Audience Manager for sophisticated marketing signals these are organizations managing massive scale across both internal operations and customer-facing activities.

The pairing with Apptio is particularly telling. Companies using both tools are tracking IT spending and performance at a granular level, which means they're treating data governance as a strategic business function with measurable ROI, not just a compliance checkbox. Similarly, the strong correlation with Proofpoint Security Training suggests these organizations face serious regulatory requirements and are investing heavily in protecting sensitive data. The Adobe Audience Manager connection reveals they're using customer data at scale for personalization, which requires robust data governance to manage privacy regulations and data quality.

My analysis shows these are sales-led and marketing-led enterprises, likely in financial services, healthcare, retail, or similar regulated industries. The presence of Qualtrics indicates they're obsessed with measuring experience and outcomes across every touchpoint. These aren't scrappy startups. They're established companies with hundreds or thousands of employees who've reached the point where ungoverned data becomes a liability. They have budget authority distributed across multiple departments and enough data complexity that spreadsheets and informal processes have broken down.

Source: Analysis of Linkedin bios of 397 companies that use Collibra

I analyzed these Collibra customers and found they operate at massive scale in industries where data mistakes have serious consequences. These are banks managing trillions in assets, healthcare systems serving millions of patients, insurance companies protecting entire populations, utilities powering cities, and manufacturers producing everything from cars to home appliances. They are not building consumer apps or chasing viral growth. They are running critical infrastructure that society depends on.

The scale indicators are unmistakable. Most have 5,000 to ,000 employees. Many are publicly traded with post-IPO debt rounds in the hundreds of millions or billions. I counted numerous Fortune 500 companies and century-old institutions. Even the smaller vendors in this list like Protegrity and VaultSpeed serve these enterprise giants. These are mature organizations with decades of legacy systems, complex regulatory requirements, and data spread across countless silos.