Principal Engineer, Enterprise Metadata & Discovery

Teradata Group

San Diego (CA)

Hybrid

USD 180,000 - 280,000

Full time

2 days ago
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Job summary

Teradata seeks a Principal Engineer, Domain Knowledge, to define and build the next generation of enterprise-scale data discovery, metadata management, and governance capabilities. You will own architecture for data catalogs and knowledge assets, enabling discovery across datasets, tables, documents, APIs, features, metrics, models, and knowledge assets.

The role combines leadership with hands-on engineering in metadata, distribution, and governance, spanning acquisition, curation, runtime

Qualifications

  • 12+ years building large-scale data platforms and metadata systems.
  • 5+ years leading enterprise data catalog, metadata management, or discovery.
  • Strong experience inventorying and indexing thousands to millions of assets.
  • Expertise in metadata ingestion, modeling, lineage and governance.
  • Distributed systems and cloud-scale production experience.

Responsibilities

  • Design and lead enterprise data catalog and metadata platforms.
  • Ingest metadata from databases, data lakes, warehouses, streaming platforms, APIs, BI tools, AI platforms, and SaaS.
  • Establish standards for technical, business, operational, and governance metadata.
  • Design lineage capture and metadata synchronization across ecosystems.
  • Build metadata knowledge graphs linking datasets, pipelines, dashboards, AI models, and owners.

Skills

Data catalog
Metadata management
Distributed systems
Knowledge graphs
Cloud platforms
Search & discovery
Leadership
Data governance
AI/ML grounding
Platform engineering

Tools

Microsoft Purview
Collibra
Alation
DataHub
Elasticsearch/OpenSearch
Databricks
Snowflake
Kafka
OpenMetadata

Job description

Teradata seeks a Principal Engineer, Domain Knowledge, to define and build the next generation of enterprise-scale data discovery, metadata management, and governance capabilities. You will own architecture for data catalogs and knowledge assets, enabling discovery across datasets, tables, documents, APIs, features, metrics, models, and knowledge assets.

The role combines leadership with hands-on engineering in metadata, distribution, and governance, spanning acquisition, curation, runtime

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