Назад
Company hidden
13 дней назад

Principal Engineer, Domain Knowledge (AI)

182 700 - 228 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Engineer, Domain Knowledge (AI): Building enterprise-scale data discovery, catalog, metadata, and knowledge graph capabilities for Teradata's Context Engine with an accent on search, governance, lineage, and AI-powered discovery. Focus on designing distributed metadata platforms, semantic retrieval systems, and agent-ready knowledge layers across regulated enterprise environments.

Location: Hybrid in San Diego, California, United States

Salary: $182,700–$274,000 annually

Company

hirify.global develops the Autonomous Knowledge Platform, connecting enterprise data, knowledge, and business context for analytics and AI.

What you will do

  • Define and build enterprise-scale data discovery, inventory, catalog, and metadata management capabilities.
  • Architect scalable search, indexing, semantic retrieval, vector search, and relevance-ranking systems.
  • Develop metadata models, business glossaries, taxonomies, ontologies, lineage frameworks, and knowledge graphs.
  • Integrate governance, ownership, compliance, data quality, trust scoring, certification, and usage analytics into catalog experiences.
  • Build AI-powered discovery, metadata enrichment, retrieval, recommendation, and agentic workflow capabilities.
  • Lead architecture decisions, technical standards, cross-functional strategy, and mentorship across engineering and data platform organizations.

Requirements

  • 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.
  • Experience inventorying and indexing thousands to millions of enterprise data assets.
  • Strong expertise in metadata ingestion and modeling, lineage, governance, data asset management, distributed systems, and platform engineering.
  • Experience building highly available, cloud-scale production systems and expertise with Azure, AWS, or GCP.
  • Hands-on experience with data catalog platforms, enterprise search technologies, data platforms, knowledge graphs, AI, RAG, and semantic retrieval.

Nice to have

  • Experience delivering systems adopted by tens of thousands of users.
  • Experience with on-premises, regulated, sovereign, or air-gapped environments.
  • Recognized leadership in metadata, catalog, search, or knowledge management.

Culture & Benefits

  • Flexible work model supporting decisions about how, when, and where to work.
  • People-first and inclusive work environment.
  • Healthcare, life and disability insurance, retirement savings with a 401(k) plan, and time-off programs.
  • Eligibility for an annual incentive plan based on company performance and individual results.

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