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What is it like to work at Teradata?

Teradata is a data analytics company that values innovation, collaboration, and customer satisfaction, fostering a culture of continuous learning and improvement. The company's global teams work together to design, develop, and deliver data management and analytics solutions, often in a fast-paced and dynamic environment that encourages creativity and problem-solving. Working at Teradata may appeal to candidates who are passionate about data and analytics, enjoy working on complex projects, and are motivated by the opportunity to make a meaningful impact in the industry.

What makes Teradata an attractive place to work?

Teradata is a leading global provider of enterprise data warehousing and analytics solutions, recognized for its expertise in helping organizations unlock the value of their data. The company fosters a collaborative and innovative work environment, where employees can engage in cutting-edge projects, share knowledge, and work together to drive business outcomes. By joining Teradata, professionals can tap into a wide range of opportunities for growth, skill development, and making a meaningful impact on the company's mission to help organizations make better decisions with data.
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Infographic showing various Technical Lead job openings at Teradata in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Head of Agentic Database Engineering

Teradata Corporation (SE)

Trenton, NJ • On-site

$160 - $220/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Teradata Corporation (SE) in Trenton, NJ, seeks a Senior Director of Agentic Database Engineering to lead the effort in building a converged operational database for AI agents. This role involves technical ownership of the database architecture, management of engineering teams, and collaboration with product management to ensure successful product launches.

Candidates should possess extensive experience in database engineering, particularly with Postgres, and a strong understanding of distributed systems. The position offers a chance to shape crucial data infrastructure for AI applications within a pioneering company.

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