Senior Manager, Data Engineering

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 coordin