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Added 4 mins ago
Project Manager, Technology Systems Implementation (SVH)
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Vancouver, BC
Full-time
The Project Manager, Technology Systems Implementation is responsible for leading the planning, design, and implementation of technology systems for complex projects at St. Vincent's:…
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Senior Manager, Data Engineering
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Heart & Stroke

Senior Manager, Data Engineering

Remote, Canada

Pay: This role offers a hiring range of $95,000 to $125,000, aligned with our compensation framework and your professional background.
Job type: Full-time
Workplace: Remote
Apply by: Dec 20, 2026
Experience: Minimum of 5+ years of technical leadership experience managing teams of engineers and analysts including coaching and driving delivery accountability
Posting language: English
Posted: Sep 21, 2026

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Original job description

Who we are
At Heart & Stroke our mission is to promote health, save lives and enhance recovery. We are committed to a culture that exemplifies our core values: champion health, practice humility, embrace change, drive impact, learn and grow and be heartfelt as we work together to beat heart disease and stroke.
We believe in equity, diversity and inclusion ― it’s embedded in our values and core mission work to support all people in Canada to lead healthier lives. We are committed to applying this principle to cultivate a welcoming environment that embraces diversity among our employees. Candidates from diverse backgrounds, including but not limited to, Indigenous peoples, racialized communities, 2SLGBTQIA+ communities, women, and people living with disabilities are encouraged to apply.
To learn more about our mission, values, commitment to EDI, and the difference Heart & Stroke makes in the lives of people in Canada at every age, please visit our website.

The opportunity
Please note Heart & Stroke offers a hybrid work option. Candidates can work from anywhere in Canada.

The Senior Manager, Data Engineering leads a team of data engineers, data analysts and business system analyst responsible for the end-to-end implementation of robust data engineering solutions.

This role oversees the full execution lifecycle, from discovery and design through development, testing, deployment, and operational support. The Senior manager will be responsible for scaling, optimizing, and operationalizing ETL/ELT pipelines on cloud infrastructure, transforming prototype scripts into hardened, enterprise-grade data products that align with enterprise architectures and business objectives.

This role combines hands-on technical expertise with leadership responsibilities, guiding teams through projects and working closely with Application and Platform teams and Analytics and Data Science teams to deliver managed data solutions. The Senior Manager will also serve as the bridge collaborating closely with product, fundraising, mission, marketing and project management to deliver strategic, curated data products that drive business decision-making.

The ideal candidate brings a strong blend of technical leadership, data architecture and engineering expertise, along with the ability to work cross‑functionally with stakeholders across Product, Fundraising, Marketing, Engineering, Security, Analytics & Data Science, and Infrastructure & Operations.

How you will make an impact every day
Stakeholder Engagement & Collaboration

Take the lead to work closely with Product, Fundraising, Marketing and Mission stakeholders, and Project Managers to clarify project scope, elicit requirements, and identify project delivery timelines.
Own the lifecycle of data pipelines from design to production. Productionalize ad-hoc or development-level pipelines into robust, fault-tolerant automated workflows in controlled cloud environment.
Provide accountability for data engineering project delivery
Provide clear communication of project status, risks, dependencies and decision points to technology leadership and business stakeholders.
Communicate technical concepts clearly to non-technical stakeholders and bridge any gaps to ensure seamless delivery

Project Intake, Solution Design & Execution

Oversee and contribute to intake process ensuring clarity and completion of business requirements
Lead solution design and work estimation to inform and support prioritization across multiple concurrent initiatives with the Director, Data Platform & Pipeline Technology
Assign and manage execution activities across the team to ensure scope, timelines and budget are met while surfacing risks and trade-offs with recommendations
Ensure effective transition to operations post deployment or launch

Technical Leadership & Vendor Engagement

Align technical decisions with business objectives and architectural standards and make technical trade-offs within standards and guardrails set by the Director.
Drive and manage technical design reviews, code reviews and solution assessments to ensure alignment with enterprise data architecture and standards
Manage technology vendors engaged in projects to ensure high quality, secure delivery that meets contractual scope, budget and timelines
Ensure vendors project work aligns with H&S standards for architecture, development, and security

Data Engineering Delivery Leadership

Act as the primary liaison to the Analytics and Reporting team. Understand the data requirements, SLA, and downstream use cases to design optimal data models and curated data products that accelerate time to insight.
Oversee operationalization of data pipelines, ETL processes and data solutions tailored to business needs, using engineering best practices.
Ensure code and data pipeline quality through standards, peer reviews, automated testing, and CI/CD workflows.
Embed security-by-design, data privacy, and governance requirements into the development and deployment of data pipelines and platforms.

Operational Excellence

Work with Infrastructure & Operations and Business requirements partner to identify non-functional requirements including operability, availability, performance, reliability and security
Implement rigorous data validation framework in ingestion and extraction pipelines, anomaly detection, and lineage tracking to ensure data readiness and data integrity.
Drive continuous improvement through agile ceremonies including sprint planning and retrospectives
Ensure technical documentation is completed/updated for all delivered solutions.
Support team with issue management escalation (level 3) and drive continuous improvement.
Establish robust logging, alerting, and monitoring mechanism for all production ETL jobs to minimize downtime and resolve data delivery delays.

Talent Management

Lead, mentor, and coach a team of data engineers, data analysts and business system analysts.
Facilitate professional development, including continuous feedback, skills growth, and performance management.
Help foster a collaborative, high‑performing engineering culture rooted in ownership, accountability, and delivery excellence.
Foster collaboration with cross-functional partners in Product, Business, Data and Application Engineering, Security, and Infrastructure & Operations.

Who we need
Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or an equivalent combination of education and progressive professional experience.

Experience

Minimum of 5+ years of technical leadership experience managing teams of engineers and analysts including coaching and driving delivery accountability
8 – 10+ years of data engineering and technical solution design
Experience with Azure and first party data services (e.g. Data Factory, Fabric, Azure Databricks), data integration via APIs, and modern data engineering frameworks (e.g., Python, SQL)
Experience with data lakehouse architectures, Medallion design principle, and ETL/ELT job operationalization deployment process.
Experience with project stakeholder management and the ability to translate business requirements into technical solutions

Skills

Expert-level knowledge of data warehousing concept, schema design (Star/Snowflake).
Advanced proficiency with ETL transformation framework libraries (PySpark, Spark)
Practical knowledge of cloud platforms (Azure preferred, or GCP).
Experience with CI/CD pipelines, automated testing, Git-based workflows, and Agile delivery.
Data solution design, implementation, and troubleshooting
Custom data engineering, operations and reliability management
Business requirements translation into technical solutions
Stakeholder communication and collaboration
Team management and hands-on technical and requirements gathering coaching
Vendor coordination and delivery oversight
Solution estimation and budget management skills – engineering project execution.
Ability to work in a fast paced, agile and multiple stakeholder environment
Ability to prioritize and work on multiple tasks across multiple stakeholders
Ability to work with cross functional teams to see a project to successful completion
Strong understanding of software development environments and databases
Strong analytical skills in data diagnostics, issue isolation and troubleshooting
Comfortable facilitating conversations with different stakeholders, presenting technical concepts to non-technical audiences

What we offer

At Heart & Stroke, we make it a priority to foster a culture of caring by implementing practices and programs that foster respect, compassion, trust and attentiveness to our own and others’ health and well-being.

This role offers a hiring range of $95,000 to $125,000, aligned with our compensation framework and your professional background. We believe that time off is integral to the personal health and wellness of our employees. We offer a generous paid time-off package including vacation days, personal days, wellness days, and paid company-wide closure between December 25 and January 1.We also provide competitive health, medical, dental and vision benefits, life insurance, disability benefits, an employee assistance program (EAP) and a defined contribution pension plan with employer matching. Our employees also enjoy a flexible hybrid working model and reimbursement for mobile phones and home office setup, as well as opportunities for professional development.

Apply now
If you want to join the fight to beat heart disease and stroke, please apply by sending your resume by September 28, 2026. Applicants must be currently residing in Canada and legally entitled to work in Canada.

Only those candidates that qualify will be selected for an interview. Interviews may be conducted virtually or in-person. Selected candidates will be notified in advance if an in-person interview is required.

Accommodation
We are committed to fostering an inclusive, barrier-free and accessible environment. If you have been contacted for an interview and require accommodation to participate in the recruitment and selection process, please let us know and we will do our best to address your needs.

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More about this job

Responsibilities

The Senior Manager leads a team of engineers and analysts to implement end-to-end data engineering solutions and operationalize ETL/ELT pipelines. They act as a bridge between technical teams and business stakeholders to deliver curated data products that support strategic decision-making.

Requirements

Candidates must have a bachelor's degree in a related discipline and at least 5 years of technical leadership experience. Proficiency in Azure data services, modern data engineering frameworks, and data lakehouse architectures is required.

Skills

Data engineering
Technical leadership
Azure
Data warehousing
ETL/ELT
Python
SQL
PySpark
Data architecture
Stakeholder management
Cloud infrastructure
CI/CD
Agile
Data modeling
Team management
Project delivery

Benefits

Vacation days
Personal days
Wellness days
Paid company-wide closure
Health insurance
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability benefits
Employee assistance program
Employer matching
Flexible hybrid working model
Mobile phone reimbursement
Home office setup reimbursement
Professional development

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure
Data Factory
Fabric
Azure Databricks
Python
SQL
PySpark
Spark
ETL
ELT
Data Lakehouse
Medallion Architecture
CI/CD
Agile
Git
Data Governance
Data Privacy
Cloud Infrastructure
Data Modeling
API
Project Management
Stakeholder Engagement
Vendor Management
Data Integrity
Automation
Software Development
Data Diagnostics
Technical Design
Enterprise Architecture

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