Cyber Security

Tradeweb is a global leader in electronic trading across asset classes.

As financial markets become increasingly interconnected, our technology enables efficient, multi-asset trading on a global scale.

We serve more than 3,000 clients in more than 85 countries, including many of the world’s largest banks, asset managers, hedge funds, insurers, corporations, and wealth managers.

Creative collaboration and sharp client focus have helped fuel our organic growth.

We facilitated average daily trading volume (ADV) of more than $2.8 trillion over the past four fiscal quarters, topping $3.3 trillion in ADV for the first quarter of 2026.

Since our IPO in 2019, Tradeweb has completed four acquisitions and doubled our revenues – and 2025 was our 26th consecutive year of record revenues.

Tradeweb plays a central role in modernizing market structure by developing innovative trading protocols, embedding analytics into execution, and building technology infrastructure that supports the convergence of traditional and digitally native financial markets.

Tradeweb is a great place to work, recognized in 2025 by Forbes as one of America’s Best Companies and by U.S.

News & World Report as one of the Best Financial Services Companies to Work For.

Tradeweb Markets LLC ("Tradeweb") is proud to be an EEO Minorities/Females/Protected Veterans/Disabled/Affirmative Action Employer.

Workplace Posters | U.S.

of Labor

As a technology-driven organization, we value individuals who embrace innovation and are eager to leverage emerging technologies, including AI, to improve efficiency, enhance decision-making, and deliver better outcomes for clients and colleagues.

We believe the greatest impact comes from combining technological capabilities with human expertise, judgment, and accountability

We are seeking a results-driven and technical Vice President (VP) to design, configure, and execute enterprise Data Catalog implementations using Collibra.

In this individual contributor / technical specialist role, you will work hands-on with the Collibra Data Intelligence Cloud platform to operationalize metadata management, data lineage, and business glossaries.

You will bridge technical systems and business stakeholders to ensure enterprise data assets are well-documented, discoverable, and compliant.

Platform Configuration & Administration: Configure and maintain Collibra Data Catalog, Data Governance Center (DGC), and reference data structures (communities, domains, asset types, and attributes).

• Workflow & Automation: Design, develop, and customize Collibra Workflows (BPMN 2.0) to support data stewardship, asset onboarding, and issue management processes.
• Metadata & Lineage Integration: Implement automated metadata harvesting and establish end-to-end data lineage by integrating Collibra with cloud data platforms (e.g., Snowflake, AWS, Azure) and BI tools using APIs or Collibra Connect.
• Stakeholder & Steward Enablement: Partner directly with Data Owners and Data Stewards to define critical data elements, business glossaries, and data dictionaries.
• Data Quality & Compliance Alignment: Support the integration of data quality metrics and rules into the catalog framework, aligning with data privacy and regulatory requirements.

Documentation & Best Practices: Maintain technical documentation, manage asset deployment cycles, and troubleshoot configuration or integration hurdles.

• Experience: 5–8 years of professional experience in Data Governance, Metadata Management, or Data Engineering, with at least 4+ years of focused, hands-on configuration and implementation experience within the Collibra ecosystem.
• Collibra Proficiency: Deep practical knowledge of Collibra Console, asset modeling, metamodel configuration, and workflow development (BPMN 2.0).
• Technical Skills: Strong competency in SQL, REST APIs, and data integration patterns. Familiarity with cloud data lakes/warehouses (Snowflake, Databricks, AWS/Azure) is essential.
• Certifications: Collibra Certified Systems Administrator or Collibra Certified Developer credentials are a strong advantage.
• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Analytics, or a related discipline.
• Soft Skills: Strong communication and collaboration skills to engage effectively with technical peers and business partners alike.