Opens LinkedIn
- Employment type
- Full-time
- Experience level
- Senior · 5+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Define and govern target-state architecture for the Wealth Data & Analytics portfolio, leading solution design across cloud data platforms, DataOps, MLOps, analytics, and integrations. Oversee vendor and delivery-team solutions, support architecture reviews and roadmaps, and ensure solutions meet enterprise standards for security, scalability, governance, performance, and integration.
Job details
Job Title: Solution Architect – DataOps / AWS / MLOps Location: Toronto, ON Fulltime Experience: 8–10 Years Domain: Wealth Management / Data & Analytics Role: Solution Architect Job Summary We are seeking an experienced Solution Architect to support DataOps expansion, Data Consolidation, Salesforce integrations, Campaign Modernization, MLOps enablement, and SAS modernization initiatives. The ideal candidate will have strong experience designing modern cloud-based data architectures, particularly on AWS, and will provide architectural leadership across DataOps, analytics, data integration, governance, and modernization programs. Required Skills & Experience Strong experience with AWS Data Platforms, including: Amazon S3 AWS Glue Amazon Redshift AWS Lake Formation AWS Lambda Strong knowledge of DataOps and modern data architecture Experience with MLOps and analytics platforms Strong understanding of: Data Warehousing Data Lakes Data Consolidation Experience designing event-driven, batch, and real-time integration patterns Strong understanding of data governance, security, and access management Experience designing scalable enterprise data and analytics solutions Ability to work with enterprise architecture, delivery teams, vendors, and business stakeholders Primary Responsibilities Define and govern the target-state architecture across the Wealth Data & Analytics portfolio. Lead solution design for cloud data platforms, DataOps, MLOps, and analytics capabilities. Establish integration patterns between Salesforce, Wealth platforms, DataOps, CDS, and other enterprise platforms. Support data consolidation and Wealth-related initiatives. Provide architecture oversight for vendor solutions and project delivery teams. Partner with the Wealth Senior Solution Architect and Enterprise Architecture teams to ensure alignment with strategic and technology standards. Support intake reviews, solution estimates, technology roadmaps, and architecture/technology decisions. Ensure solutions meet enterprise requirements for scalability, security, governance, performance, and integration. Nice-to-Have Skills Salesforce integrations and API-led architecture SAS modernization experience Legacy-to-cloud transformation experience Wealth Management or financial-services domain experience Campaign modernization initiatives Enterprise data governance and security experience
What you’ll do
Define and govern target-state architecture for the Wealth Data & Analytics portfolio, leading solution design across cloud data platforms, DataOps, MLOps, analytics, and integrations. Oversee vendor and delivery-team solutions, support architecture reviews and roadmaps, and ensure solutions meet enterprise standards for security, scalability, governance, performance, and integration.
Requirements
Requires 8–10 years of experience and strong expertise in AWS data services, DataOps, modern data architecture, MLOps, analytics, data warehousing, data lakes, and data consolidation. Candidates should also have experience designing batch, real-time, and event-driven integrations, with knowledge of data governance, security, access management, and enterprise solution delivery.
Listed skills
- Organization · Preferred
- Leadership · Preferred
- Attention to detail · Preferred
- Teams · Preferred
- Data analysis · Preferred
- management · Preferred
- Integrations · Preferred
- Amazon Web Services · Preferred
- Time · Preferred
- Integration · Preferred
- batch · Preferred
- Salesforce · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS Data Platforms
- Amazon S3
- AWS Glue
- Amazon Redshift
- AWS Lake Formation
- AWS Lambda
- DataOps
- MLOps
- Data Architecture
- Data Warehousing
- Data Lakes
- Data Consolidation
- Data Integration
- Data Governance
- Salesforce Integrations
- Cloud Architecture
Job areas
- Technology
- Data & Analytics
- Software
- Management & Leadership
- Finance & Accounting
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