1 день назад
Principal/Staff Data Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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