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Senior Principal Architect, Enterprise Architecture- Data & Analytics

Job in Toronto, Ontario, C6A, Canada
Listing for: Scotiabank
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Security
Job Description & How to Apply Below

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

The Enterprise Architecture team is pivotal in defining the technological and structural direction of the organization. Their mandate includes designing, developing, governing, and driving the global technology strategy for the Bank.

As a Senior Principal Architect – Data & Analytics, you will define and lead Scotiabank’s enterprise data architecture strategy, shaping how data is governed, secured, and leveraged to deliver measurable business value. You will guide modernization across cloud, analytics, and integration domains, ensuring enterprise data platforms are scalable, resilient, and compliant. Acting as a strategic advisor to senior executives, you will influence investment priorities and ensure that Scotiabank’s data foundation supports a future of intelligent, data‑driven banking.

Is

this role right for you? In this role, you will:
Strategy Development
  • Partner with Global Data and Analytics team to define and lead the enterprise data architecture strategy, aligning modernization, analytics, and governance with Scotiabank’s long‑term business and technology objectives.
  • Actively participate in developing and executing the data and platform migration strategy to the cloud, ensuring scalability, resiliency, security, and compliance while optimizing cost and performance.
  • Collaborate across domains to establish the enterprise foundation for analytics and intelligence by selecting and integrating platforms such as Databricks, Snowflake, and Azure Synapse, enabling unified, governed, and high‑performing data environments.
  • Define future‑state architecture blueprints and reference models to guide interoperability, modernization, and sustainable platform evolution.
  • Collaborate across domains – Cloud, AI, Security, Integration, and Applications – to ensure data architecture strategies align with enterprise‑wide transformation and business outcomes.
Transformational Leadership
  • Partner with Global Data and Analytics team to lead the design and execution of enterprise data modernization initiatives, including data lake, data warehouse, and real‑time streaming capabilities.
  • Architect secure, resilient, and compliant data ecosystems, ensuring end‑to‑end traceability, data quality, and business continuity.
  • Provide architectural oversight for major transformation programs, ensuring alignment with enterprise standards, security policies, and regulatory compliance.
  • Partner with engineering and delivery teams to operationalize data architecture roadmaps, governance frameworks, and platform automation.
  • Promote data‑driven decision‑making and self‑service analytics across business units to accelerate innovation and agility.
Executive Presence & Influence
  • Act as a strategic advisor to C‑suite and senior executives, translating complex data and cloud transformation strategies into clear business outcomes and measurable value.
  • Demonstrate strong executive presence by engaging board‑level stakeholders, influencing investment priorities, and aligning enterprise data strategy with business growth objectives.
  • Lead with clarity and thought leadership, simplifying complex architectural discussions to guide strategic decisions on modernization, cloud adoption, and data governance.
  • Build trusted relationships across technology, business, and risk functions, fostering alignment and accountability for data transformation outcomes.
  • Represent Enterprise Architecture in executive governance and investment forums, providing direction on platform evolution, data architecture, and enterprise intelligence initiatives.
  • Inspire teams through vision‑driven leadership, cultivating a culture of collaboration, innovation, and responsible data use across the enterprise.
Stakeholder Management
  • Present and communicate with our CTO, engineering heads and other senior leaders on an ongoing basis to gather feedback, report progress and solve issues.
  • Work closely with technical teams and SMEs to ensure technology initiatives are delivered on time, within budget forecasts and deliver value identified at inception.
  • Work closely with non‑technology teams…
Position Requirements
10+ Years work experience
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