Solutions Architect

Toronto, ON
Hybrid
Posted Oct 8, 2026
1 position

$50–$60 / hour

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Employment type: Contract
Experience level: Senior · 8+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Lead the architecture design and delivery for a large-scale enterprise migration. Translate business requirements into scalable, secure, production-ready solutions while collaborating with technology, data, security, and business teams.

Job details

Location: Toronto Contract: 12 months (possibility of extension) Hybrid Pay Rate: $50-60 JOB DESCRIPTION Insight Global is seeking an experienced Solution Architect to lead the design and delivery for a large migration across enterprise initiatives. This role will be responsible for translating business requirements into scalable, secure, and production-ready architecture solutions while partnering with technology, data, security, and business teams. REQUIRED SKILLS AND EXPERIENCE 8+ years of experience designing and implementing large-scale enterprise data solutions. Experience with Google Cloud or Microsoft cloud platforms Strong expertise in data architecture, data warehousing, data modeling, and data integration. Experience building scalable platforms that support reporting, analytics, and data science workloads. Hands-on experience with Azure or GCP data technologies related to Data Warehouse, Data Lake, ETL/Data Pipelines, BI, etc Knowledge of structured and semi-structured data environments (SQL, XML, JSON). Experience with BI and analytics tools including Power BI and Tableau Strong communication, problem-solving, and stakeholder management skills. NICE TO HAVE SKILLS AND EXPERIENCE Financial services Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position. *We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

What you’ll do

Requirements

Requires 8+ years of experience designing and implementing large-scale enterprise data solutions, with expertise in data architecture, warehousing, modeling, and integration. Candidates should have experience with Google Cloud or Microsoft Azure data technologies, analytics and BI workloads, structured and semi-structured data, and strong communication and stakeholder management skills.