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1 день назад

Principal/Staff Data Engineer (AI)

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

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TL;DR
Principal/Staff Data Engineer (AI): Building and owning Orum’s modern data platform across ClickHouse, BigQuery, dbt, and Looker with an accent on scalable pipelines, analytics architecture, and trusted semantic models. Focus on designing reliable real-time and batch systems for event, call, transcript, conversational, and AI data while optimizing distributed workloads, governance, and observability.

Location: Hybrid in the San Francisco Bay Area or Austin, TX

Company

hirify.global provides an AI-powered sales platform with intelligent dialing, conversation insights, AI-driven coaching, and virtual sales floors.

What you will do

  • Define the data platform architecture and technical roadmap.
  • Build scalable ETL/ELT pipelines from PostgreSQL, application systems, and event streams into ClickHouse, BigQuery, and other analytical systems.
  • Design robust dbt transformation layers and reusable, documented data models.
  • Own the reliability, performance, cost, and scalability of ClickHouse and BigQuery workloads.
  • Build real-time and batch pipelines for analytics, product, and AI use cases, including event, call, transcript, and conversational data.
  • Manage the Looker environment, semantic layer, metric governance, dashboards, permissions, and self-service analytics.

Requirements

  • 8+ years of experience in data engineering, analytics engineering, platform engineering, or related data roles.
  • Deep expertise in SQL, data modeling, dimensional modeling, and analytics-oriented schema design.
  • Hands-on experience with dbt and modern ELT architectures.
  • Strong experience with ClickHouse, BigQuery, or similar analytical databases and warehouses.
  • Production experience administering Looker, including LookML development and performance optimization.
  • Experience with streaming technologies such as Kafka or Pub/Sub, plus cloud infrastructure, distributed systems, and data platform architecture.

Nice to have

  • Experience operating ClickHouse at scale or migrating a Looker implementation.
  • Experience with product or customer-facing analytics platforms.
  • Familiarity with LLM infrastructure, embeddings, RAG systems, or AI data pipelines.
  • Experience with conversational, telephony, or other large-scale unstructured datasets.
  • Experience in a high-growth startup environment.

Culture & Benefits

  • Flexible vacation policy and 30+ paid holidays annually, including monthly and year-end breaks.
  • Meaningful stock options.
  • 90% coverage for employee and dependent healthcare, dental, and vision insurance.
  • Life, disability, and parental leave benefits.
  • $1,000 equipment reimbursement and company retreats and meetups.
  • Inclusive, collaborative culture centered on excellence, accountability, integrity, stewardship, and innovation.

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