Sr. Data Architect with a strong emphasis on data scalability and customer journey (acquisition, onboarding and beyond) for our large banking client - 3598

Sr. Data Architect with a strong emphasis on data scalability and customer journey (acquisition, onboarding and beyond) for our large banking client - 35986

Location Address: office 1-2 days at Digital Factory - Downtown Toronto

Contract Duration: 6 months + strong possibility for renewal

Number of Positions: 1

Scheduled Hours: Monday to Friday, 9-5

Extension/FTE Opportunity: Possibility, depending on performance and need.

Story Behind the Need:

• Business Group: Canadian Banking (Retail) Engineering

• Project/Initiative: As the Personalization Technology Solution Architect, you will play a crucial role in driving end-to-end solutions across all aspects of personalization, with a strong emphasis on data scalability and customer journey (acquisition, onboarding and beyond). Your expertise will guide technology teams and business units in making informed technology choices, consulting on solution development, integration activities, and data architecture. This role requires innovative thinking to deliver solutions that are not only scalable and secure but also compliant with industry standards

Candidate Value Proposition:

• The successful candidate will have the opportunity to work within the banks Engineering/Technology group. We are technology partners who help the business transform how our employees worldwide work. You will get to work with and learn from diverse industry leaders, who have hailed from top technology.

Typical Day in Role:

• Lead the design and delivery of end-to-end technology solutions within the personalization technology domain, focusing on scalability and the customer experience across all touchpoints (digital/authenticated, offline/assisted).

• Provide scalable, reliable, and secure system integration solutions, simplifying the technology landscape to achieve efficiency gains in cost, revenue, and resources, while ensuring that business value is delivered uncompromised.

• Contribute to the creation of conceptual and component-level architectures, ensuring systems meet expected performance metrics and incorporate robust observability.

• Support data architecture needs to integrate data across multiple platforms similar to Salesforce Data Cloud, Twilio, SAP Customer Data Platform, Salesforce Marketing Cloud, Braze, Adobe (RT-CDP, AEP) MS Dynamics 365 Customer, and Dynamic Yield.

• Develop a comprehensive data strategy including measurement/reporting, identity management and resolution, to ensure data pipeline aligns with stakeholder priorities.

• Act as a liaison, collaborating with enterprise/GTMTech/martech architects, business architects, product owners, technical analysts, and developers to facilitate effective communication.

• Conduct technical demonstrations and prepare documentation, including specifications and solution architecture.

• Enhance digital data layers and implement technical tagging for web and mobile platforms, ensuring robust data collection processes are established.

• Participate actively in QA and deployment processes, particularly within Agile frameworks, to ensure successful implementation.

Candidate Requirements/Must-Have skills:

• 10+ years of experience in data architecture, integration, API management, and cross-platform Proficiency in data and application integration patterns, including Domain-Driven Design, APIs, messaging, and both synchronous and asynchronous communication.

• Over 5 years of direct hands-on experience in architecting, designing, and hands-on implementation of integrated personalization ecosystems using SaaS platforms. Familiarity with tools such as Adobe Experience Platform, Salesforce Marketing Cloud, and others is essential.

• Excellent problem-solving skills, strong organizational abilities, and the capacity to communicate complex concepts clearly to both technical and non-technical stakeholders.

Nice to Have Skills:

activation with a strong understanding of marketing technologies, digital analytics, customer data platforms, and cross-channel marketing implementations.

Experience collaborating on architecture activities, including designing roadmaps and proof-of-concepts. A commitment to continuously researching current and emerging technologies will help propose necessary changes.

Strong understanding of analytics implementation across digital platforms, with experience in tools like Google Analytics 4 and BI dashboard tools (Tableau, Looker, Power BI).

Best vs. Average Candidate:

The best candidate would be someone who has strong communication skills and a solid cultural fit (good attitude, positive energy and pick up the work).

The best candidate will have direct experience in implementing Personalization or Personalization-adjacent technology solutions at a large-scale organization (prefrably in FI) along with the Certifications

Education & Certifications:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required

Adobe Experience Platform Certification Overview

Adobe Real-Time CDP Certification Overview

Marketing Cloud Certification

Data Cloud Consultant.

Candidate Review & Selection

• One interview with the Hiring manager - 30 minutes - to make sure the candidate has the right attitude and culture communication.

• 2nd Panel interview with a technical peer and teammates - 45 minutes - Business Case 15 minutes presentation - In-person is must