3 дня назад
Senior Manager, Data Engineering
95 000 - 125 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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