Назад
Company hidden
3 дня назад

Senior Manager, Data Engineering

95 000 - 125 000CAD
Формат работы
remote (только Canada)/hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Manager, Data Engineering (Azure/Data Engineering): Leading the implementation and operationalization of enterprise-grade data engineering solutions, including cloud ETL/ELT pipelines, curated data products, and data platforms with an accent on Azure, data architecture, reliability, and cross-functional delivery. Focus on scaling fault-tolerant workflows, embedding security and governance, improving data quality and observability, and mentoring engineering and analyst teams.

Location: Remote or hybrid; candidates can work from anywhere in Canada. Applicants must currently reside in Canada and be legally entitled to work in Canada.

Salary: $95,000–$125,000 hiring range.

Company

Heart & Stroke promotes health, saves lives, and enhances recovery by supporting healthier lives in Canada.

What you will do

  • Lead a team of data engineers, data analysts, and business systems analysts through the full delivery lifecycle.
  • Own the design, development, testing, deployment, and operational support of cloud-based data pipelines and curated data products.
  • Scale and operationalize ETL/ELT workflows, transforming prototypes into reliable, enterprise-grade solutions.
  • Translate business requirements into technical solutions and collaborate with Product, Fundraising, Marketing, Mission, Analytics, Data Science, Infrastructure, and Security teams.
  • Direct solution design, estimation, technical reviews, vendor delivery, and project execution.
  • Establish data validation, monitoring, alerting, lineage, documentation, security, privacy, and governance practices.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent professional experience.
  • 5+ years of technical leadership experience managing and coaching engineering and analyst teams.
  • 8–10+ years of data engineering and technical solution design experience.
  • Experience with Azure data services, including Data Factory, Fabric, or Azure Databricks; GCP experience is also relevant.
  • Strong experience with Python, SQL, PySpark, Spark, data lakehouse architecture, Medallion design, data warehousing, and Star/Snowflake schemas.
  • Experience with CI/CD, automated testing, Git-based workflows, Agile delivery, stakeholder management, vendor coordination, and data reliability.

Culture & Benefits

  • Inclusive, diverse, collaborative culture focused on health, impact, learning, accountability, and continuous improvement.
  • Flexible hybrid working model with mobile phone and home office setup reimbursement.
  • Vacation, personal and wellness days, plus paid company-wide closure from December 25 to January 1.
  • Health, medical, dental, vision, life insurance, disability, and employee assistance benefits.
  • Defined contribution pension plan with employer matching and professional development opportunities.

Hiring process

  • Apply by September 25, 2026, with a resume.
  • Interviews may be conducted virtually or in person; advance notice will be provided for an in-person interview.

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