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5 дней назад

Lead Data Engineer (AI)

Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
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
Lead Data Engineer (AI/Databricks): Owning and evolving Trolley's Databricks lakehouse, production data pipelines, reporting, and customer-facing data products with an accent on data reliability, finance data, privacy, and AI foundations. Focus on leading a data engineer, building observable and recoverable pipelines, supporting fraud and risk signals, and creating governed context for AI tools and agents.

Location: Remote within Quebec, Ontario, or Nova Scotia, Canada

Company

hirify.global provides a payouts platform and API for internet businesses, helping companies automate global payments, tax and banking data collection, fraud prevention, and risk management.

What you will do

  • Manage, coach, and develop a data engineer while setting standards for code review, testing, documentation, and on-call practices.
  • Own the Databricks lakehouse, including ingestion, modelling, data quality, cost management, and operational reliability.
  • Build and operate pipelines from production systems, Salesforce, NetSuite, and third-party sources.
  • Support finance processes including month-end close, revenue calculations, vendor cost reconciliation, audits, and year-end reporting.
  • Build customer-facing data products such as data connectors and embedded reporting, and support fraud and risk data features.
  • Create governed data foundations for AI tools and agents while partnering with InfoSec and Compliance on privacy, access, retention, and audit requirements.

Requirements

  • 7+ years of experience in data engineering with ownership of a production data platform.
  • Experience managing, mentoring, or leading engineers on a small team.
  • Deep experience with Databricks or a similar lakehouse, SQL, and Python.
  • Experience building reliable pipelines from operational databases and SaaS systems.
  • Experience supporting finance or accounting processes with data.
  • Hands-on use of AI tools in engineering work and the autonomy to act as the most senior data professional in the company.

Nice to have

  • Formal people-management experience and interest in growing a data team.
  • Fintech, payments, or other regulated-industry experience.
  • Experience with customer-facing data products, embedded analytics, or data sharing.
  • Experience building context layers, retrieval systems, or data pipelines for AI agents.
  • Practical data governance and privacy experience, including PII handling, access control, and GDPR.

Culture & Benefits

  • Work remotely within Quebec, Ontario, or Nova Scotia, with 30 days of remote work from anywhere.
  • Competitive salary and an ESOP program.
  • Extended healthcare benefits from the first day.
  • Four weeks of paid vacation per year plus public holidays and an additional vacation day per year of service.
  • Gym membership allowance, summer half-day Fridays, and company-provided Apple equipment.

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