Title: Senior Manager, Data Engineering
Requisition ID: 251179
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Senior Manager of Data Engineering is a strategic and technical leadership role responsible for driving the design, development, and governance of enterprise-grade data pipeline solutions.
This leader manages and oversees data engineering teams, enables scalable data pipelines, and partners closely with business, analytics, and technology stakeholders to deliver high quality, reliable, and accessible data.
Is this role right for you? In this role, you will:
- Develop and execute the data engineering strategy aligned to the enterprise data
- Lead, mentor, and grow a high-performing team of data engineers
- Manage, and oversee the endtoend design, build, and optimization of data pipelines in GCP and Azure Databricks
- Build, prioritize, and manage the data ingestion backlog
- Define and champion best practices for data ingestion and silver layer architecture, data integrity and quality, and engineering excellence.
- Partner with product, analytics, cloud, and business leaders to translate requirements into scalable data solutions.
- Drive modernization initiatives, including migration to cloud-native data platforms, implementation of automation, and orchestration.
- Own engineering standards, development frameworks, CI/CD pipelines, and operational reliability of data assets.
- Ensure high availability, performance, and resiliency of data systems through strong observability, monitoring, and incident management practices.
- Partner with data governance teams to uphold policies on metadata, lineage, access management, and data stewardship.
- Serve as a strategic advisor on data engineering capabilities, solution options, and technology decisions.
- Communicate technical concepts and project updates effectively to executives and non-technical partners.
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field.
- 8+ years of hands-on experience in data engineering, including advanced cloud and modern data stack experience.
- 3+ years leading engineering teams or technical organizations.
- Expertise in modern data architecture (e.g., lakehouse, streaming, real-time ingestion, microservices-based pipelines).
- Proficiency in SQL, Python, Spark, Airflow, and cloud-native data services (GCP and Azure).
- Experience with modern data warehouse technologies (BigQuery, Databricks, Azure Synapse).
- Strong understanding of data governance frameworks, data cataloging, and privacy controls.
- Demonstrated ability to build highly scalable, distributed, and enterprise-grade data systems.
- Strong people leadership skills with a passion for coaching and developing talent.
- Strong communicator with a proven track record of clearly presenting insights and recommendations to a wide range of stakeholders, adept at tailoring messaging and delivery to suit different audiences
- Strong analytical, organizational, and problem-solving skills, with the ability to synthesize information and provide clear recommendations.
- Strong sense of ownership, accountability, and initiative in driving technology optimization and operational improvements.
- Results-oriented self-starter with a bias toward action, capable of navigating complex, large-scale organizations and fostering strong cross-functional partnerships; experienced in stakeholder engagement within matrixed environments
- Highly curious and eager to learn, bringing an adaptable and creative mindset to problem-solving
What's in it for you?
- Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
- Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
- Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
- Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
- Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.
Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
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