At a Glance
- Tasks: Design and implement innovative data solutions for investment insights and operational efficiency.
- Company: CoreFactor, a leader in data-driven solutions within the asset management sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Join a dynamic team shaping the future of data analytics and AI in finance.
- Qualifications: Bachelor's degree in relevant field and 5+ years of experience in data architecture.
The predicted salary is between 121500 - 148500 $ per year.
CoreFactor is searching for a Data Solutions Designer on a 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.
Data Solutions Architect in Toronto employer: CoreFactor
CoreFactor is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data Solutions Designer role in downtown Toronto. With a strong focus on employee growth, you will have the opportunity to work alongside talented professionals in the Data, Analytics & AI team, contributing to impactful data-driven solutions in a fast-paced environment. The hybrid work model allows for flexibility while ensuring you remain engaged with your team, making it a rewarding place to advance your career in the asset management sector.
