Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

What you’ll do

This role will require you to:

• Lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments (AWS, Azure, GCP).

• Manage and mentor a high-performing engineering team, ensuring delivery, team performance, quality, and on-time releases.

• Lead development of enterprise-grade services that are platform agnostic and scalable to handle high volumes of data

• Champion the adoption and integration of AI technologies—including Agentic AI, LLMs, and modern AI tools—into engineering workflows and product development.

• Drive extensive automation for process efficiencies across development, deployment, and operational workflows.

• Implement and optimize robust services for telemetry and observability for high availability, resiliency, and performance.

• Monitor, analyze, and optimize system performance; proactively troubleshoot and resolve issues related to data flows and telemetry.

• Collaborate closely with Product, Support, Operations, and Engineering teams to deliver enhanced reliability, user experience, and operational transparency.

• Evaluate and adopt new technologies, driving continuous improvement in pipeline scalability, observability, cloud integration, and AI-powered innovation.

Who you’ll work with

You will join a high-performing engineering team with:

• A strong focus on innovation, continuous learning, and open communication.

• Commitment to mutual respect and empowering team members in a collaborative environment.

• Support for diverse perspectives and fostering professional growth through mentorship and shared ownership.

• A culture that values ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.

What makes you a qualified candidate

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related disciplines.

• 10+ years of relevant industry experience, including 2+ years in management roles.

• Demonstrated proficiency with AI technologies, including leveraging AI to drive innovation and efficiency.

• Strong programming skills (Java, Python/Go) and experience building distributed systems.

• Proven experience in product development and ownership of core platforms or user-facing features.

• Working experience with Docker, Kubernetes on cloud and on-premises

• Ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.

What you’ll bring

You will be preferred if you have:

• Experience designing and scaling observability frameworks or telemetry pipelines.

• Practical experience integrating with tools/frameworks such as OpenTelemetry, Prometheus, Grafana, Datadog, Splunk.

• Excellent communication, teamwork, and leadership skills.

• Proven problem-solving skills, initiative, and a proactive engineering mindset.

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Why We Think You’ll 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 committed to actively working to foster an inclusive environment that celebrates people for all of who they are.