Solutions Architect - Personalization

Scotiabank; Toronto; On-site; CAD 100,000 - 130,000; Full time

Benefits offered by this job

Diversity and Inclusion initiatives

Tuition assistance

Flexible vacation and benefits from day one

Job summary

Scotiabank is seeking a Solutions Architect to lead the design of personalization initiatives across various channels. The candidate will collaborate across teams to integrate customer data and compliance requirements effectively.

Key qualifications include 5+ years of IT experience, with a focus on solution architecture in enterprise environments. An inclusive culture, competitive rewards, and professional development opportunities are part of the offer.

Qualifications

• 5+ years of experience in Information Technology roles within medium to large enterprise environments.
• 3+ years of experience in solution architecture or equivalent hands-on design roles.
• Practical experience with MarTech or Customer Engagement platforms.

Responsibilities

• Lead cross-functional solution architecture and integration design for personalization initiatives.
• Design solutions that integrate customer data, events, and decision signals.
• Support delivery teams through architecture reviews and design walkthroughs.

Skills

Integration architecture

API-based integration

Personalization concepts

Stakeholder engagement

Data governance

Education

Relevant architecture or platform certifications

Tools

Customer Engagement platforms

Decisioning engines

Job description

Solutions Architect – Personalization

Requisition ID: 260242

Location(s): Canada: Ontario: Toronto

Responsibilities

• Lead cross‑functional solution architecture and integration design for personalization initiatives across marketing, sales, digital banking, and service channels
• Translate personalization and GTM use cases into clear end‑to‑end technical designs across multiple platforms and internal systems
• Define and apply architecture patterns, integration standards, and solution guardrails across the MarTech and Personalization landscape
• Design solutions that integrate customer data, events, profiles, journeys, and decision signals while meeting enterprise risk, privacy, and compliance requirements
• Act as a technical bridge between marketing technology platforms, customer decisioning capabilities, enterprise data services, and delivery engineering teams
• Support delivery teams through architecture reviews, design walkthroughs, and complex integration analysis
• Contribute to technology roadmaps, target‑state architectures and vendor evaluations
• Support the evolution of personalization capabilities, influence platform usage and integration approaches to improve scalability, observability, and reuse

Qualifications

• 5+ years of experience in Information Technology roles within medium to large enterprise environments
• 3+ years of experience in solution architecture, integration architecture, or equivalent hands‑on design roles
• Practical experience working with MarTech, Digital, or Customer Engagement platforms (e.g., CDPs, journey orchestration platforms, personalization or decisioning engines, loyalty systems)
• Demonstrated ability to design end‑to‑end solutions within established enterprise architecture standards
• Relevant architecture or platform certifications are an asset (e.g., Adobe, Salesforce, Pega, Google, or equivalent)
• Strong working knowledge of API‑based integration, event‑driven patterns, and batch vs near‑real‑time data flows
• Experience integrating marketing or GTM platforms with enterprise data, analytics, and downstream operational systems
• Ability to evaluate technical trade‑offs related to latency, scalability, risk, and operability
• Strong understanding of personalization concepts including customer profiles, events, journeys, segmentation, eligibility, and activation
• Experience supporting Go‑To‑Market (GTM) or marketing enablement initiatives in partnership with engineering teams
• Ability to translate business and marketing requirements into actionable technical solutions
• Exposure to or practical experience with real‑time and AI‑assisted personalization or decisioning patterns
• Ability to assess emerging capabilities with an enterprise mindset, considering data readiness, governance, and regulatory constraints
• Experience working in regulated or control‑heavy environments (financial services experience preferred)
• Strong communication and stakeholder engagement skills across business, data, marketing, and engineering
• Demonstrated ability to influence design decisions through collaboration and technical credibility

Benefits

• Diversity, Equity, Inclusion & Allyship – an inclusive culture with bias‑free practices and Employee Resource Groups
• Accessibility and Workplace Accommodations – commitment to an inclusive and accessible environment
• Upskilling through online courses, cross‑functional development opportunities, and tuition assistance
• Competitive rewards program including bonus, flexible vacation, personal and sick days, and benefits from day one