Toronto On Solution architect databricks Jobs – 116 Openings This Week

Full Stack Java Developer Lead
CGI —Toronto, ON
- $95,000–$145,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
2h
Enterprise Data Architect (Energy) - EDAAS
NavitasPartners —Toronto, ON
- From $30 an hour
- Azure
- AWS
- APIs
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4d
Data Engineer
GEI Consultants —Vaughan, ON
- $90,000–$150,000 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Profit sharing
- Commuter benefits
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Senior Technical Account Manager
Plume —Toronto, ON
- Remote
- Computer Science
- PMP
- Engineering
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Senior Cloud Engineer (Technical Lead)
Scotiabank —Toronto, ON
- Hybrid work
- Azure
- DevOps
- Engineering
- Tuition reimbursement
Lakebase Sales Specialist
Databricks —Toronto, ON
- Azure
- Sales
- Databases
6d
Senior Technology Lead - Data Platforms
Scotiabank —Toronto, ON
- Azure
- DevOps
- SQL
- Tuition reimbursement
AI Architect (AWS & Agentic AI)
TheAppLabb —Toronto, ON
- Full-time
- Remote
- Azure
- DevOps
- AWS
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Sr. Machine Learning Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
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Associate Director, Principal Data Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- DevOps
- AWS
2d
Senior Enterprise Sales Executive (IT Professional Services/Clouds), Greater Toronto Area, ON
Dedicatted —Toronto, ON
- From $180,000 a year
- Full-time
- Hybrid work
- Sales
- Salesforce
- DevOps
- Designated paid holidays
- Paid time off
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Principal Applied AI Scientist (Team Lead), Digital and Global Investments
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Doctoral degree
- Computer Science
Sr. AI Engineer
TheAppLabb —Toronto, ON
- Full-time
- Hybrid work
- Azure
- SQL
- AWS
Quick apply

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Full Stack Java Developer Lead
CGI —Toronto, ON
Bachelor's or Master's degree in Computer Science, Engineering, or related field. Lead design discussions, code reviews, and mentor junior team members.
$95,000–$145,000 a year
Quick apply
2h
Senior Data Engineer
Royal Bank of Canada —Toronto, ON
A world-class training program in financial services. 3–6 years experience in data engineering or ETL development. Develop ETL workflows using Informatica IICS.

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25-167 Senior Data Engineer (Azure Data Factory / Databricks) - 12 month contract - Oshawa - hybrid remote
CorGTA —Oshawa, ON
Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Artificial Intelligence, Machine Learning, or a related discipline, with strong…
$85–$95 an hour
6d
AI Engineer
GEI Consultants —Markham, ON
Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams. GEI-Funded Profit Sharing and 401(k).
$110,000–$150,000 a year
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solution architect databricks jobs near toronto on

Full Stack Java Developer Lead

CGI -
Toronto, ON

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Job details

Full-time
$95,000–$145,000 a year
2 hours ago

Qualifications

Spring Boot
CI/CD
Azure
Law
Computer Science
React
Kubernetes
Full-stack development
DevOps
Engineering
Spark
System design
NoSQL
Google Cloud Platform
MongoDB
Java
Master's degree
Databases
Microservices
SQL
AWS
Bachelor's
PostgreSQL
Distributed systems
Terraform
REST
Natural language processing
Angular
Software development
APIs
AI
TypeScript
Communication skills
Spring framework

Full job description

This role is hybrid and requires you to be at our downtown Toronto office 1 day per week and/or Client office (700 University Ave) at a minimum 3 days per week - subject to change at any time.

We are looking for a Senior Full Stack Developer with deep expertise in Java, cloud technologies, and AI, along with strong experience in the Property & Casualty (P&C) insurance domain. You will play a key role in building next-generation digital insurance platforms across policy administration, underwriting, claims, and customer engagement.

This position requires a hands-on technologist who can design scalable systems, integrate AI capabilities, and modernize legacy insurance platforms into cloud-native, API-driven ecosystems.

Your future duties and responsibilities

Design and develop enterprise-grade applications supporting core insurance functions:
Policy Administration (PAS)
Claims Management
Underwriting & Rating
Billing & Payments
Build modern full-stack applications using Java (Spring Boot) and front-end frameworks like React or Angular.
Architect and implement cloud-native insurance platforms on AWS, Azure, or GCP.
Develop and integrate AI-driven capabilities, such as:
Claims automation and fraud detection
Risk scoring and underwriting insights
Document processing (OCR, NLP)
Customer service chatbots and virtual assistants
Implement API-first and microservices-based architectures for seamless integration with internal and third-party systems (e.g., brokers, reinsurers, data providers).
Work with insurance data models (policy, claims, risk, coverage, endorsements).
Ensure compliance with regulatory requirements and data security standards (e.g., PII handling).
Lead design discussions, code reviews, and mentor junior team members.
Collaborate closely with business stakeholders, actuaries, and product teams.

Required qualifications to be successful in this role

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
10+ years of experience in full stack software development.
Strong hands-on experience in:

o Java (Spring Boot, Spring Cloud)
o Front-end frameworks (React, Angular, TypeScript)

Proven experience in P&C insurance domain:

o Familiarity with policy lifecycle, claims processing, underwriting workflows.

Experience with cloud platforms (AWS, Azure, or GCP).
Strong understanding of:

o Microservices and distributed systems
o REST APIs and event-driven architecture

Experience with databases (SQL/NoSQL such as PostgreSQL, MongoDB).
Experience with integration patterns (REST, messaging, batch).

Preferred Qualifications

Experience with insurance platforms such as:
Experience with AI/ML use cases in insurance, such as:

o Claims analytics and fraud detection
o Predictive underwriting models

Exposure to Generative AI / LLM integration (e.g., document summarization, policy Q&A).
Experience with data platforms (Snowflake, Databricks, Spark).
Knowledge of DevOps practices and tools (CI/CD, Terraform, Kubernetes).

Key Skills

Strong understanding of insurance business processes and domain models including Commercial and Speciality.
Excellent system design and problem-solving skills.
Ability to translate complex insurance requirements into scalable technical solutions.
Strong communication skills with both technical and business stakeholders.
Leadership and mentoring capabilities.
Continuous learning mindset, especially in InsurTech and AI innovation.

**CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes factors such as skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $95,000–$145,000. This role is an existing vacancy.

#LI-BN

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team—one of the largest IT and business consulting services firms in the world.

Quick apply

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solution architect databricks jobs in toronto on

Full Stack Java Developer Lead

Enterprise Data Architect (Energy) - EDAAS

Data Engineer

Senior Technical Account Manager

Senior Cloud Engineer (Technical Lead)

Lakebase Sales Specialist

Senior Technology Lead - Data Platforms

AI Architect (AWS & Agentic AI)

Sr. Machine Learning Engineer

Associate Director, Principal Data Engineer

Senior Enterprise Sales Executive (IT Professional Services/Clouds), Greater Toronto Area, ON

Principal Applied AI Scientist (Team Lead), Digital and Global Investments

Sr. AI Engineer

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