Data Solution Architect (AI Exposure)

EMETemployment

  • Toronto, ON
  • Permanent
  • Full-time
  • 6 days ago
Data Solution Architect (AI Exposure)
Job Order ID: 8446
Employment Type: Hourly Salary
Payment: $100/Hr
Web Publication Date: 8/28/2025
Number of Positions: 1
Schedule: Hybrid (2 days on-site, 3 days remote)
Job Location: Toronto
Brief Description:Our employer is leading Canadian insurer. They are looking for a Solution Architect that can build pipelines to move data, clean data, protect data, etc. for their AI Architects. This is not an AI specific Architect role but since the data will be used by the AI Architects, having knowledge of AI would be helpful. They are open to AWS or Azure, require strong Databricks experience and if one has Snowflake that's an asset.Job Function:
  • Participating in multiple projects to solution data ingestion/consumption for our customers, developing and documenting patterns to be used by the AI Data Architects.
  • Participating in POCs using our technologies to determine if the solutions will work.
  • Participating in projects such as SAS migration or SAS Viya, Data Science Platform decommissioning, CL and PL datahub (bringing all data sources together), or supporting one of our existing AI families in data ingestion/consumption.
  • Passionate about creating responsive and scalable data pipeline architectures.
  • Able to thrive in a diverse team of Business Architects, Solution Architects, Data Architects and work with a delivery teams.
  • Able to take a business problem and turn it into a technological solution.
  • Comfortable working in complex and constantly changing environments, with multidisciplinary teams.
  • Being able to effectively challenge the Status quo and set standard and direction for the solutions
  • A very good communicator who excels at explaining your ideas.

Job Requirement:
  • Experience in a Solution Architecture role.
  • Knowledge in working with data for AI as the data you move will be for the AI Architects.
  • Experience architecting data pipelines in the cloud.
  • Experience working with Azure OR AWS services (S3, EC2, Lambda).
  • Experience building data warehouses and data marts in the cloud.
  • Experience migrating traditional on-prem EDW data integrations to the cloud.
  • Strong experience working with Databricks.
  • Experience working in Agile delivery.
  • Experience with Snowflake (asset).
  • Experience with Informatica IICS and PowerBI (asset).
  • Experience with Data Vault (asset).
  • Experience with Power Designer (asset).
  • Certification in an Architecture Frameworks (TOGAF or similar) (asset).
  • Experience with the CGI RCDA architecture approach (asset).
  • Technologies required: AWS OR Azure, Databricks, AI Knowledge/Exposure.

EMETemployment