Principal Engineer, Enterprise Data Knowledge and Discovery

Teradata

Santa Fe (NM)

On-site

USD 183,000 - 274,000

Full time

2 days ago

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Benefits offered by this job

Flexible work model

Job summary

Teradata seeks a Principal Engineer, Domain Knowledge, to define and build the next generation of enterprise data discovery, inventory, and metadata management capabilities acrossFinance, Healthcare, and more. You will own architecture for systems enabling analysts, data scientists, AI agents, and business users to discover, understand, trust, and govern data assets.

You will lead the strategy and execution of Teradata's Enterprise Context Engine Domain Knowledge, delivering governed metadata

Qualifications

12+ years of experience building large‑scale data platforms, metadata systems, search platforms, or knowledge management technologies.
5+ years leading architecture and implementation of enterprise data catalog, metadata management, or data discovery platforms.
Proven track record designing systems that inventory and index thousands to millions of enterprise data assets.
Deep experience with metadata ingestion, metadata modeling, lineage, governance, and data asset management.
Strong software engineering background with distributed systems and platform engineering.
Experience building highly available, cloud‑scale systems running in production environments.
Expertise in at least one major cloud platform (Azure, AWS, or GCP).

Responsibilities

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 search, metadata search, faceted navigation, and relevance‑ranking capabilities.
Leverage graph technologies, vector search, embeddings, and knowledge representations to improve discoverability.
Build intelligent recommendation systems that help users identify trusted and relevant data assets.