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Data Solutions Architect

Job in Toronto, Ontario, C6A, Canada
Listing for: Spaulding Ridge
Full Time position
Listed on 2026-09-23
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Business Systems & Technology Analysis, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CAD Yearly CAD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management.

At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.

Spaulding Ridge offers executive-level, practical advice to scale your business. Stated simply, we deliver best-in-cloud advisory and IT services.

We believe that all business ispersonal.

Core to ourvalues are our relationships with our clients, our business partners, our own team, and the global community. Spaulding Ridge is dedicated to helping our clients transform their business, from strategy through implementation and business transformation to AIM, ELEVATE, and EVOLVE.

What You Will Do

As a Data Solutions Architect
, you’ll be responsible for scoping, designing, implementing, and testing modern data, analytics, and application solutions for our clients. This role sits at the intersection of software engineering, Snowflake architecture, data engineering, BI/reporting, and client advisory.

Working closely with our client partners, you’ll develop relationships with key business and technical stakeholders while building tangible business value through scalable data platforms, intuitive reporting experiences, and data-driven applications. You will help clients move away from manual reporting, fragmented data sources, and disconnected systems toward trusted, governed, and actionable analytics.

We hire individuals that are passionate about solving problems and bringing innovative ideas to our clients and our team. As a growing firm, you will be given the opportunity to engage clients from the proposal phase through architecture, delivery, enablement, and support, while helping build and mentor a team of experts within our Data Solutions practice.

Ideal candidates will possess the following:
  • Ability to collaborate with client stakeholders and internal team members to design and implement technology that aligns with client business objectives.
  • Ability to lead end-to-end solution architecture across source systems, integration layers, Snowflake, transformation logic, semantic/reporting layers, APIs, and user-facing applications.
  • Ability to build mock Proofs of Concept for Snowflake-backed reporting, analytics applications, data products, and integrations across cloud-based and on-premise business systems.
  • Experience working with modern data technologies such as Snowflake, dbt, Fivetran, Boomi, Mule Soft, Workato, Matillion, Airflow, Sigma, Power BI, Tableau, Looker, Omni, and other key offerings.
  • Ability to identify issues and structural problems across data architecture, reporting processes, integration patterns, and application design, then generate actionable recommendations using standard methodologies that you may be required to develop.
  • Ability to demonstrate a clear understanding of client business needs, goals, metrics, reporting requirements, and operating model constraints.
  • Ability to develop solutions by designing system specifications, architectural standards, data models, API patterns, reporting frameworks, and functional requirements.
  • Ability to lead Snowflake architecture decisions including database design, warehouse strategy, RBAC/security, ingestion patterns, performance tuning, cost optimization, data sharing, and environment management.
  • Ability to design and build scalable data pipelines,…
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