Our company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

What you will do

In this role, you will lead the engineering team responsible for data solutions at Teradata. You will drive innovation and ensure the delivery of high-quality products that meet the needs of our customers. Success in this role means achieving excellence in product development, fostering a collaborative team environment, and making a significant contribution to the company's growth. In addition, you will,

• Lead large, globally distributed engineering teams responsible for Teradata’s cloud-first data foundation.
• Drive the adoption of CI/CD, DevSecOps, and agile development across engineering teams.
• Evolve architecture to support open table formats (Iceberg/Delta), vectorized execution, and AI/ML model integration.
• Foster a high-performance, inclusive engineering culture built on accountability, innovation, and continuous improvement.
• Champion platform modernization, including microservices, Kubernetes, data fabric, and GenAI enablement.

Who you will work with

On our team, we value collaboration and teamwork. You will work closely with a diverse group of talented engineers, product managers, and other stakeholders. The engineering team plays a crucial role in developing and maintaining Teradata's data solutions. This position reports to product engineering leadership and will,

• Lead Engineering delivery across Teradata’s data platform, including Vantage Cloud and VantageCore, data access layers, data movement, and cloud-native services.
• Collaborate with Security, Customer Success, and GTM to ensure platform readiness for enterprise scale, compliance, and customer needs.
• Partner with Product Management to shape and execute the roadmap for VantageCloud and data innovation at scale.

What makes you a qualified candidate

• 15+ years of engineering leadership in data infrastructure, databases, or large-scale distributed systems.
• 3+ years in a VP or equivalent role managing large-scale global engineering teams.
• Master’s degree in computer science, engineering, or related field.

What you will bring

• Proven success in leading cloud-native platform development with multi-cloud and hybrid deployment strategies.
• Deep experience with modern data architecture, including open data formats (Iceberg, Delta), streaming (Kafka), and query engines (Trino, Presto, Spark).
• Strong understanding of AI/ML infrastructure, model lifecycle integration, and data observability.
• Track record of transforming legacy systems into modern, API-first, service-based platforms.
• Demonstrated ability to scale engineering practices using Agile, CI/CD pipelines, and security-first development.
• Experience in enterprise software delivery with a focus on performance, scalability, and reliability.
• Excellent cross-functional leadership, influencing, and communication skills.

Why we think you will love Teradata:

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are

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