Назад
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9 дней назад

Lead Software Engineer (Data Engineering)

93 200 - 136 696CAD
Формат работы
hybrid
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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TL;DR
Lead Software Engineer (Data Engineering): Migrating file-based products to a unified, cloud-native data platform with an accent on governed data pipelines, feed generation systems, and large-scale data delivery infrastructure. Focus on designing scalable data architectures, optimizing performance and reliability, and guiding technical direction across engineering teams.

Location: Toronto, Canada; hybrid with four days in-office each week in most locations

Base salary: CAD 93,200–136,696 annually; 12.5% annual incentive target

Company

hirify.global provides financial data, research, and data products for clients and marketplaces.

What you will do

  • Lead technical direction for data feeds and the data engineering function.
  • Shape the consolidation strategy for migrating legacy file-based feed products to a unified, governed, cloud-native architecture.
  • Design scalable data delivery mechanisms for file-based feeds and marketplace distribution platforms.
  • Own data platform architecture across ingestion, transformation, feed generation, and client-facing data products.
  • Define practices for data governance, modeling, performance optimization, and reliability.
  • Mentor engineers and communicate architectural direction to technical and non-technical stakeholders.

Requirements

  • 7+ years of experience in data engineering, data platforms, or distributed systems.
  • Experience building large-scale data pipelines on AWS, Azure, or GCP; AWS is preferred.
  • Hands-on experience with SQL and Python.
  • Experience with Docker and Kubernetes.
  • Experience with cloud object storage such as Amazon S3, Azure Blob Storage, or Google Cloud Storage.
  • Ability to influence technical direction, mentor engineers, and align teams without direct management authority.

Nice to have

  • Experience with Snowflake, Databricks, or Redshift.
  • Knowledge of data lake and lakehouse architecture, Delta Lake, or Apache Iceberg.
  • Experience in regulated or financial services industries with strict data quality and delivery SLA requirements.
  • Experience using AI-assisted coding tools such as GitHub Copilot, Claude Code, or Cursor.

Culture & Benefits

  • Hybrid collaboration with regular in-person work each week.
  • In most locations, the hybrid model involves four days in-office each week.
  • Tools and resources are provided for collaboration with global colleagues.
  • Additional benefits support flexibility as needs change.

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