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14 часов назад

Software Engineer (Data Platform)

130 000 - 165 000CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Текст:
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TL;DR
Software Engineer (Data Platform) (Data Platforms/Cloud): Building and operating unified data ingestion pipelines, backend services, and storage layers for high-volume product data with an accent on governance, reliability, and multi-tenant architecture. Focus on migrating legacy data systems, designing semantic metadata and secure data-sharing models, and implementing observability, SLOs, and incident response across distributed data services.

Location: Toronto, Canada (Remote)

Salary: CAD 130,000–165,000 per year, plus a possible bonus and benefits.

Company

hirify.global develops content personalization and AI decisioning solutions that help brands generate data-activated content and improve marketing agility.

What you will do

  • Design, deliver, and operate data ingestion pipelines and supporting infrastructure.
  • Migrate legacy data lifecycle management to a modern platform without disrupting existing data consumers.
  • Define SLIs and SLOs, build dashboards and alerting, and implement monitoring, observability, and incident response for event data pipelines and services.
  • Build flexible storage layers for transactional, analytical, and machine learning workloads.
  • Collaborate with product engineering, analytics, and machine learning teams on data contracts, requirements, and standards.
  • Design semantic metadata and multi-tenant data models that support data discovery, secure sharing, client isolation, and regulatory compliance.

Requirements

  • Strong understanding of data governance and lifecycle management, including data quality, lineage, retention, and access control.
  • Production experience with database backends, OLAP and OLTP systems, SQL optimization, and data warehouses such as Databricks, ClickHouse, or Redshift.
  • Experience designing and operating data systems on AWS or GCP, including multi-cloud environments.
  • Proficiency with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
  • Experience integrating legacy platforms with modern architectures through well-designed interfaces and migration strategies.
  • Ability to lead system design discussions, document technical decisions, and collaborate across engineering and product boundaries.

Nice to have

  • Familiarity with Elixir for concurrent and fault-tolerant data services.
  • Experience with Airflow, Kafka, Apache Flink, or similar data pipeline and streaming technologies.
  • Hands-on experience with columnar and OLAP databases such as Databricks or ClickHouse.
  • GCP experience in addition to AWS.

Culture & Benefits

  • Remote work from Toronto.
  • Medical, financial, and other benefits are available.
  • Inclusive workplace committed to equal opportunity and supporting diverse perspectives.

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