Requisition ID: 258117
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
As a Senior Technology Lead within the Data & AI Technology team, you will play a critical leadership role in designing, building, and scaling enterprise grade data platforms. You will provide technical leadership across large, complex initiatives, with a strong focus on Azure, Databricks, and modern data engineering technologies. This role partners closely with architects, product owners, platform teams, and business stakeholders to deliver secure, scalable, and high performing data solutions that drive business outcomes.
Is this role right for you? In this role, you will:
- Provide technical leadership and hands‑on guidance across end‑to‑end data and analytics solutions built on Azure and Databricks
- Lead the design, development, and optimization of data pipelines, ingestion frameworks, and analytical workloads
- Act as a technical authority for data engineering best practices, performance optimization, security, and reliability
- Drive delivery across large, multi‑year, enterprise programs, ensuring solutions align with architectural standards and strategic roadmaps
- Mentor and guide engineers through code reviews, design sessions, and technical decision‑making
- Collaborate with enterprise architecture, platform, security, and risk teams to ensure solutions meet governance, compliance, and resiliency standards
- Support platform modernization, cloud migration, and legacy technology decommissioning initiatives
- Influence and continuously improve engineering standards, reusable patterns, and shared capabilities across the Data & AI ecosystem
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
- 10+ years of experience in data engineering, analytics, or platform engineering roles
- Strong hands‑on experience with Azure Databricks, including Spark (PySpark/Scala), Delta Lake, and performance tuning
- Deep experience with Azure data services such as ADLS, Azure Data Factory, Synapse, Event Hubs, or equivalent technologies
- Solid understanding of data architecture, data modeling, ETL/ELT patterns, and data quality frameworks
- Proven experience working on large-scale, complex enterprise projects involving multiple teams and stakeholders
- Strong programming skills in Python, SQL, and familiarity with CI/CD pipelines for data platforms
- Experience working in regulated environments with strong controls around security, privacy, and compliance
- Demonstrated ability to lead technically while remaining delivery‑focused and outcome‑oriented
- Experience working with structured, semi-structured, and unstructured data.
Nice to Have
- Experience in financial services or other highly regulated industries
- Exposure to AI/ML platforms, feature stores, or advanced analytics workloads
- Experience with cloud migration programs, platform modernization, or data platform decommissioning
- Familiarity with DevOps/DataOps practices and tooling
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. 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.
