Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
93к-137к CAD/год
180к CAD220к CADмедиана280к CAD
По похожим ролям (49) ~ 220к CAD/год
На СНГ рынке: $4.2к/мес ($3.5к - $5.9к)
57
Средняя вакансия
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Роль предполагает техническое лидерство и понятный проект по развитию облачной платформы данных, но зарплата заметно ниже рыночного ориентира, а четыре дня в офисе могут снизить привлекательность вакансии.
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Ниже рынкаАктуальные технологииПонятная рольМного дней в офисе
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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