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Senior Data Engineer (Databricks)

11 667 - 15 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Data Engineer (Databricks/Spark): Leading the design and delivery of enterprise-scale data platforms for Fortune 500 clients with an accent on Lakehouse architecture and scalable ETL/ELT frameworks. Focus on architecting cloud-native solutions, optimizing distributed data processing, and establishing engineering best practices.

Location: Hybrid in Toronto, Ontario (3 days per week in office)

Salary: $140,000 – $180,000 (CAD)

Company

hirify.global provides cutting-edge digital solutions and data transformation services for Fortune 500 companies.

What you will do

  • Lead the architecture and implementation of enterprise-scale data platforms from inception through production deployment.
  • Partner with Fortune 500 stakeholders to translate business requirements into scalable technical strategies.
  • Design and optimize high-performance Spark applications and Lakehouse architectures using Delta Lake.
  • Implement Infrastructure-as-Code (Terraform) and CI/CD pipelines across AWS, Azure, or GCP.
  • Establish data governance frameworks, including Unity Catalog, metadata management, and role-based access controls.
  • Mentor data engineers and lead technical delivery across multiple client engagements.

Requirements

  • 8+ years of experience designing and building enterprise-scale data platforms.
  • 5+ years of hands-on experience with Databricks and Apache Spark.
  • Strong proficiency in Python, SQL, and distributed computing.
  • Experience with major cloud platforms (AWS, Azure, or GCP) and IaC tools like Terraform.
  • Proven track record of leading technical initiatives and managing enterprise client stakeholders.
  • Must be based in or able to work hybrid in Toronto, Ontario

Nice to have

  • Databricks Certified Professional Data Engineer certification.
  • Experience with streaming technologies (Kafka, Kinesis, Event Hubs) or tools like Snowflake, dbt, and Airflow.
  • Knowledge of AI/ML platforms, Feature Stores, or Retrieval-Augmented Generation (RAG) architectures.
  • Previous experience in professional services or consulting for enterprise clients.

Culture & Benefits

  • 100% employer-paid health, dental, and vision coverage for employees and dependents from day one.
  • Hybrid flexibility with three days per week in the downtown Toronto office.
  • High degree of technical ownership, influencing strategy and architecture for major transformations.
  • Ongoing learning and professional development opportunities.

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