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Solution Architect with strong expertise in Java and Big Data

J M Group Inc

Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer

Posted: 28 May 2026 (30+ days ago)

Application Deadline: 25 August 2026

Vacancies: 1 Vacancy

Job Summary

Were looking for an experienced Solution Architect with deep Java and Big Data expertise to design and drive enterprise-scale solutions for a delivery team in Toronto. The ideal candidate brings a strong architectural background hands-on technical depth and the ability to lead and mentor engineering teams while aligning solutions with business objectives.

What youll do

Define end-to-end solution architecture for enterprise applications leveraging Java and Big Data platforms
Design scalable secure and high-performance systems using microservices and distributed architectures
Develop architecture blueprints technical roadmaps and solution designs aligned with business needs
Lead design and development of enterprise applications using Java Spring Boot Spring Cloud and Hibernate
Design and implement Big Data solutions using Hadoop Spark Hive Kafka and NoSQL databases
Build real-time and batch data processing pipelines and define data ingestion processing and storage strategies
Architect cloud-based solutions on AWS Azure or GCP integrating Big Data and Java services
Design APIs and integration frameworks using REST messaging systems and event-driven architectures
Work with containerization and orchestration using Docker and Kubernetes
Conduct architecture and code reviews and ensure adherence to enterprise standards
Mentor development teams and provide technical leadership across delivery
Collaborate with business stakeholders and product owners to translate requirements into technical solutions
Identify and mitigate architectural risks and ensure security and compliance requirements are met

What you bring

10 years of IT experience with at least 3 to 5 years in a Solution Architect role
Strong hands-on experience with Java 8 Spring Boot and Spring Cloud
Expertise in Big Data technologies including Hadoop Spark Kafka and Hive
Experience with SQL and NoSQL databases such as MongoDB and Cassandra
Hands-on experience with cloud platforms including AWS Azure or GCP
Familiarity with DevOps tools including CI/CD pipelines Jenkins Git and Terraform
Strong understanding of enterprise architecture patterns microservices and distributed systems design
Excellent communication and stakeholder management skills with the ability to lead and mentor teams
Bachelors or Masters degree in Computer Science Engineering or a related field
Eligibility for a mandatory background check

Nice to have