Gestionnaire senior des données/Senior Manager, Data Engineering

Job description

Accountabilities Lead and mentor a team of data engineers while remaining actively involved in technical architecture, design decisions, engineering discussions, and career development. Define the architectural vision for a large-scale Databricks lakehouse using technologies such as Spark, Delta Lake, and Unity Catalog. Own the technical roadmap and ongoing evolution of the data platform, working closely with architects, product managers, business stakeholders, and other technical teams. Balance the delivery of new platform capabilities with technical debt reduction, scalability, maintainability, and long-term engineering priorities. Establish rigorous standards for data quality and reliability, including automated testing, validation frameworks, data quality SLAs, CI/CD, monitoring, and observability. Drive a strong operational excellence culture through incident management, on-call ownership, blameless root cause analysis, and proactive reliability improvements. Lead the responsible adoption of AI-assisted development, testing, and operational practices, scaling effective approaches across the data engineering organization. Support the professional growth of engineers by providing regular coaching, feedback, mentorship, and opportunities to expand their technical and leadership capabilities. Requirements Proven and extensive experience in data engineering, combined with strong expertise in data architecture and the ability to design and justify large-scale lakehouse and distributed data systems. Previous experience managing and developing an engineering team, with a strong track record of coaching technical talent and supporting career progression. Hands-on experience with Databricks, including Spark, Delta Lake, and Unity Catalog, as well as strong proficiency in Python and SQL. Experience working with cloud environments such as AWS or Azure and building reliable, scalable data platforms in production. Significant experience implementing automated pipeline testing, data validation, CI/CD, monitoring, observability, and other data quality practices within demanding SaaS environments. Strong operational and incident management experience, including on-call ownership, service-level agreements, root cause analysis, and measurable reliability improvements. Demonstrated ability to adopt and scale AI tools within engineering workflows, using them responsibly to improve development, testing, and operational efficiency. Strong communication, stakeholder management, technical leadership, and problem-solving skills, with the ability to work effectively across engineering, product, architecture, and business functions. Fluency in French is required for permanent positions in Quebec to support communication with colleagues, partners, and suppliers in the province. Fluency in English is also required to collaborate with colleagues, customers, and partners primarily located outside Quebec and to understand technical and scientific documentation. Benefits Comprehensive health benefits, life and disability insurance, and fertility and family-forming support programs. Generous paid time off, paid holidays, volunteer time off, quarterly self-care days, and designated no-meeting days. Tuition and reading reimbursement programs supporting continuous learning and professional development. Wellness resources, including a global wellness program, confidential Employee Assistance Program, and one-to-one wellness coaching. Employee Resource Groups, charitable initiatives, and matching programs designed to strengthen connection and community impact. Registered Retirement Savings Plan (RRSP) to support long-term financial planning. Gym reimbursement programs and access to telemedicine services. Performance bonus opportunities recognizing individual impact and contributions. Monthly remote work stipend to help support home-office expenses. Flexible work environment designed to support productivity and well-being while enabling collaboration across distributed teams. French-language training available for permanent Quebec employees who need additional support developing their French proficiency. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Gestionnaire senior des données/Senior Manager, Data Engineering based in Canada. This is a senior technical leadership opportunity focused on building and evolving modern data platforms at scale.You will lead a team of data engineers while remaining hands-on with architecture, engineering practices, and technical decisions.The role centers on a Databricks lakehouse environment using Spark, Delta Lake, and Unity Catalog.You will shape the platform roadmap, balancing new capabilities, reliability, quality, and technical debt.A major focus will be on operational excellence, automated testing, observability, and data quality.You will also champion responsible AI adoption across development, testing, and operations to accelerate delivery.This role offers the opportunity to grow engineering talent while delivering data capabilities used by millions of people worldwide.