Principal Engineer, Domain

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.

We are seeking a Principal Engineer , Domian Knowledge, to define and build the next generation of enterprise-scale data discovery, inventory, and metadata management capabilities across many verticals, such as Finance, Healthcare, etc. This is a highly strategic and hands‑on technical leadership role for an industry‑recognized expert who has successfully designed and deployed large‑scale data catalog platforms across complex enterprises.

You will own the architecture, engineering, and evolution of systems that enable employees, analysts, data scientists, AI agents, and business users to discover, understand, trust, and govern data assets across the organization. Think of this role as building and operating the enterprise's "library index" or "parts catalog" for data, where every dataset, table, document, API, feature, metric, model, and knowledge asset can be found, understood, and evaluated for use.

You will own the strategy and technical execution of Teradata's Enterprise Context Engine Domain Knowledge — developing enterprise‑leading capabilities to extract, curate, and continuously evolve structured metadata and business context supported by Teradata’s industry knowledge models to serve as a governed layer powering both human analyst acceleration and AI agent grounding. This role combines deep product thinking with ecosystem and platform leadership, spanning the full lifecycle from knowledge acquisition and curation to runtime delivery and continuous improvement.

The Context Engine integrates robust database and catalog connectivity, intelligent query parsing, and Teradata's decades of industry knowledge — particularly in highly regulated enterprises — into a curated, continuously improving context layer. Context Engine is a platform that converts enterprise data estates into governed, agent‑ready knowledge. Built for organizations where AI reliability and auditability are non‑negotiable, Context Engine enables companies to deploy AI workflows on the data they already own — without rebuilding their infrastructure, without retraining their models, and without waiting for generic AI synthesis to learn the business terminology that took their analysts years to master.

The ideal candidate combines deep technical expertise in metadata management, distributed systems, data platforms, search and indexing technologies, governance, lineage, and data quality with a passion for creating exceptional discovery experiences at enterprise scale.

• Design and build enterprise‑wide data catalog and metadata platforms that continuously discover, inventory, classify, and organize data assets.

• Create systems that automatically scan and ingest metadata from databases, data lakes, warehouses, streaming platforms, APIs, BI tools, AI platforms, and SaaS applications.

• Drive the vision for making organizational data as discoverable as products in an e‑commerce catalog or books in a modern library system.

• Establish a unified metadata strategy spanning structured, semi‑structured, and unstructured data assets.

• Architect highly scalable metadata indexing and search systems supporting millions to billions of metadata entities.

• Design semantic search, keyword…