Title: Senior Manager, Data Engineering
Requisition ID: 234237
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Role
The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP). This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a growing team with regional responsibilities, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.
As part of the role, you’ll
The Senior Data Engineer will lead the design, development, and maintenance of scalable data products and pipelines on Google Cloud Platform (GCP).
- This role is critical in driving data-driven decision-making by building robust, efficient, and secure data infrastructure. The Senior Data Engineer will oversee a growing team with regional responsibilities, providing technical guidance and ensuring high-quality delivery of data solutions that support business objectives.
2. Accountability
- Design, build, and optimize data pipelines and architectures on GCP to support data products, ensuring scalability, reliability, and performance.
- Lead a team of up to three Data Engineers, providing mentorship, technical direction, and performance feedback.
- Collaborate with cross-functional teams (e.g., Data Scientists, Product Managers, and Software Engineers) to understand requirements and deliver data products that align with business goals.
- Implement best practices for data governance, security, and compliance within GCP environments.
- Monitor and maintain data infrastructure, ensuring high availability, data quality, and efficient processing.
- Drive the adoption of modern data engineering tools and methodologies, including ETL/ELT processes, data modeling, and orchestration.
- Troubleshoot and resolve complex data pipeline issues, ensuring minimal downtime and optimal performance.
- Contribute to the evaluation and integration of new GCP services and third-party tools to enhance data capabilities.
What will we expect from you?
- Education: Bachelor’s degree in computer science, Data Engineering, Information Systems, or a related field. A master’s degree is a plus.
Experience:
- 7+ years of experience in data engineering, with at least 3 years focused on building data solutions in Google Cloud Platform (GCP).
- Proven expertise in designing and implementing data pipelines using GCP tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- 2+ years of experience leading or mentoring a team of engineers, with a track record of successful project delivery.
- Strong proficiency in programming languages such as Python, Java, or Scala, and SQL for data processing.
- Hands-on experience with data modeling, schema design, and data warehousing concepts.
- Familiarity with CI/CD pipelines, version control (e.g., Git), and Infrastructure as Code (e.g., Terraform) is preferred.
- Knowledge of data governance, security practices, and compliance standards (e.g., GDPR, CCPA) in cloud environments.
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
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 everyone 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.
- Hybrid-friendly work environment will provide you with the flexibility of best of both remote and in office world, to perform at your best.
- 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.
- Community Engagement - no matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs such as hackathons, contests, cooking with friends, Humans of Digital and much more!
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.
Note: All postings in me@Scotiabank will remain live for a minimum of 5 days.
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