Назад
Company hidden
13 дней назад

Engineering Manager, Metadata Engineering Manager, Metadata

206 699 - 258 374$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager, Metadata (Metadata Engineering): Leading the team building discovery APIs, catalog, lineage, and run history services for the dbt platform with an accent on high-throughput APIs, data models, reliability, and latency. Focus on delivering complex distributed cloud services, driving incident response and technical quality, and applying AI tooling across the software development lifecycle.

Location: Austin, United States

Salary: $206,699–$258,374 USD annually

Company

Fivetran and dbt Labs are bringing together data movement, transformation, and metadata infrastructure to help organizations build trusted foundations for analytics and AI.

What you will do

  • Lead and grow a software engineering team, including hiring, onboarding, coaching, performance management, and career development.
  • Own quarterly delivery, service reliability, performance, uptime, and latency targets for the Metadata team.
  • Guide technical designs and code reviews for discovery APIs, catalog, lineage, and run history services.
  • Drive incident response, bug resolution, technical debt reduction, post-mortems, and operational health within SLA targets.
  • Partner with product and business stakeholders on planning, prioritization, backlog management, and engineering strategy.
  • Establish the use of AI assistants, coding agents, and conversational AI across development and SDLC documentation.

Requirements

  • Experience managing and growing a software engineering team through hiring, coaching, and full performance and career-development cycles.
  • Strong technical foundation in distributed, cloud-based systems, with the ability to review designs and code and make architectural trade-offs.
  • Experience delivering complex projects while maintaining high standards for quality, reliability, and performance.
  • Experience owning production services, incident response, on-call practices, technical debt reduction, and SLA achievement.
  • Ability to plan and prioritize with product partners, manage realistic backlogs, and communicate clearly with stakeholders.
  • Fluent use of AI code assistants, coding agents, and conversational AI to support the software development lifecycle.

Nice to have

  • Experience with metadata, catalog, lineage, or discovery and search systems.
  • Experience with GraphQL APIs and high-throughput, multi-tenant data services.
  • Familiarity with analytics engineering workflows and the dbt ecosystem.
  • Experience supporting enterprise or single-tenant customers with strict reliability and latency requirements.

Culture & Benefits

  • Employer-paid medical insurance, subject to country and worker type.
  • Paid vacation or flexible/unlimited vacation depending on role and country, paid sick time, parental leave, holidays, and volunteer days.
  • RSU stock grants and professional development opportunities.
  • Virtual social events, team-building activities, and a monthly cell phone stipend.
  • Mental health support including therapy, coaching, and self-guided resources.

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