Data Solutions Architect (Permanent)

CoreFactor; Toronto; Hybrid; CAD 100,000 - 150,000; Full time

Job summary

CoreFactor is seeking a Data Solutions Designer in the GTA, with a hybrid work arrangement requiring four days in the downtown Toronto office. The role focuses on shaping data-driven solutions for investment insights, reporting, and analytics across an asset management business.

You will design data flows from sources to BI platforms, guide architecture, and ensure secure, scalable implementation while partnering with data engineers, analysts, and stakeholders in a regulated environment.

Qualifications

• Bachelor’s degree in CS/IS/Data Science/Engineering or related field is required.
• Master’s degree in Data Analytics or related field is preferred.
• Certifications (Snowflake, AWS, dbt, TOGAF) are a plus.
• 5+ years in data architecture/design or data engineering, preferably in financial services.

Responsibilities

• Design End-to-End Data Solutions for BI, analytics, and AI/ML.
• Define data flows from ingestion through transformation, storage, and delivery (real-time and batch).
• Collaborate with data engineers, analysts, and quants to ensure scalable, secure designs.
• Ensure alignment with governance, regulatory requirements, and platform standards.
• Review and influence solution designs for maintainability and performance.

Skills

Data architecture

Data solution design

Stakeholder collaboration

AWS

Snowflake

dbt

Data governance

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field

Master’s degree in Data Analytics, Information Systems, or Financial Engineering (preferred)

Tools

Snowflake

AWS

dbt

Alation

Tableau Data Catalogs

TOGAF

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).

Collaborate Across Teams

• 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.