We're 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 you'll 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
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Eligibility for a mandatory background check
Nice to have
- Experience with data governance and data lake architectures
- Cloud platform certification in AWS, Azure, or GCP
- Exposure to AI/ML data pipelines
- Experience working in Agile and DevOps environments
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