Data Solutions Architect (Permanent)

CoreFactor Inc.; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

CoreFactor Inc. is seeking a Data Solutions Designer for a full-time, permanent role in the GTA. The position is hybrid, with four days per week in the downtown Toronto office.

You will design end-to-end data flows from source systems to BI/AI consumption, collaborating with data engineers, analysts, quants, and business stakeholders to ensure secure, scalable solutions. The ideal candidate has 5+ years in data architecture or data solution design, with Snowflake, AWS, and dbt experience; a

Qualifications

• 5+ years of experience in data architecture or data solution design, ideally in financial services.
• Knowledge of data platforms, governance, and secure, scalable data pipelines.
• Certifications in Snowflake, AWS, dbt are pluses.

Responsibilities

• Design end-to-end data solutions from ingestion to BI/AI consumption.
• Create data flows, DFDS, and models to support reporting and analytics.
• Collaborate with data engineers, analysts, quants, and business stakeholders.
• Advise on architecture, platform capabilities, and technology choices within AWS/Snowflake.

Skills

Data architecture

Data solution design

Stakeholder collaboration

Education

Bachelor's degree in Computer Science / related field

Master's degree in Data Analytics / Financial Engineering (preferred)

Tools

Snowflake

AWS

dbt

Tableau Data Catalogs

Alation

Job description

Downtown Toronto (Regent Park / Port of Toronto)

State/Province Ontario

M5A

Job Description

CoreFactor is searching for a Data Solutions Designer on full-time/permanent basis for a client in the GTA.

This role is hybrid and will require the successful incumbent to go into the office four (4) times per week in downtown Toronto.

Our client is seeking a Data Solutions Designer to join their Data, Analytics & AI team in shaping data-driven solutions that enable investment insights, operational efficiency, and client reporting across our asset management business.

In this role, you will help design and guide the implementation of end-to-end data flows—from source systems through to final consumption by business intelligence platforms, data science models, and third-party consumers. This includes contributing to platform architecture, data modeling, and solution review across a modern stack.

You’ll collaborate with data engineers, analysts, quants, and business stakeholders to ensure that data solutions are well-architected, secure, scalable, and aligned with the needs of a fast-paced, regulated industry.

Key Responsibilities:

• Design End-to-End Data Solutions
• Design robust data solutions supporting business intelligence, data processes, analytics and AI/ML initiatives.
• Develop technical flowcharts, data flow diagrams (DFDs), and system interaction models to visualize and validate proposed data solution designs.
• Define data flows from ingestion through transformation, storage, and delivery—including real-time and batch patterns.
• Ensure solutions support both operational and analytical use cases (e.g. dashboards, APIs, external data delivery).
• Partner with data engineering, analytics, and AI teams to evaluate and enhance solution designs.
• Provide guidance on architectural decisions, platform capabilities, and technology choices within our AWS and Snowflake-based ecosystem.

Modeling & Metadata

• Design logical and physical data models to support various levels of reporting and analysis.
• Partner with Data Governance to help promote standards for metadata, documentation, and lineage tracking using tools like Alation, DBT and Tableau Data Catalogs.

Platform & Governance Alignment

• Ensure all designs align with platform standards, data governance policies, and regulatory requirements relevant to asset management.
• Contribute to improving data product delivery patterns, reusability, and performance optimization.

Review & Influence

• Review proposed solution designs and challenge approaches to ensure strategic alignment, maintainability, and fit-for-purpose outcomes.
• Act as a thought partner in refining how we deliver data, analytics, and AI capabilities to the business.
  

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (required).
  
• Master’s degree in Data Analytics, Information Systems, or Financial Engineering (preferred).
  
• Relevant certifications (e.g. Snowflake, AWS, dbt, TOGAF) are a plus.
  
• 5+ years of experience in data architecture/data solution design, or data engineering—preferably within financial services or asset management
  
• Strong understanding of data platforms and architecture, including experience with:
  
• Snowflake for cloud data warehousing
  
• AWS for cloud services and data pipelines
  
• dbt for transformation and documentation
  
• Demonstrated experience designing data flows and models to support BI, reporting, and/or AI/ML use cases.