Red Pico
GCP Cloud Architect/Engineer - BMO
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Architecture
- Posted
Skills
Must have
- Experience designing and delivering cloud-based data platforms and enterprise-scale data solutions
- Strong hands-on experience with Google Cloud Platform (GCP)
- Advanced experience with BigQuery, including data modeling, optimization, performance tuning and best practices
- Experience building data processing pipelines using Dataflow with Python
- Strong SQL development skills
- Strong Python development experience
- Experience developing solutions using Cloud Run and/or Cloud Functions
- Experience with Pub/Sub for event-driven architectures and data integration
- Experience with Cloud Storage and Firestore
- Experience implementing Infrastructure as Code using Terraform
- Experience implementing and supporting CI/CD pipelines using Azure DevOps
- Understanding of cloud security, governance and compliance requirements
- Experience working with business stakeholders, architects and governance teams to define and implement solutions
- Experience creating architecture documentation, integration designs and technical standards
- Strong troubleshooting and problem-solving skills
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
Nice to have
- Google Cloud Professional Cloud Architect certification
- Google Cloud Professional Data Engineer certification
- Experience with GCP services such as Dataproc, Cloud Composer, GKE and Vertex AI
- Experience supporting multi-cloud environments including AWS and Azure
- Experience with data warehousing, analytics and reporting solutions
- Experience with data governance and data quality frameworks
- Familiarity with Site Reliability Engineering (SRE) practices
- Experience with cloud cost optimization and FinOps practices
- Exposure to Agile delivery methodologies
- Knowledge of AI/ML platforms and data science workflows
Full description
We are looking for a GCP Cloud Architect/Engineer to design and implement scalable data solutions on Google Cloud Platform for our client BMO. You will work closely with business stakeholders, data science teams and technical governance groups to define requirements, design integration patterns and deliver cloud-native data solutions. You will design modern data pipelines, enable data-driven decision making and make sure solutions align with enterprise architecture, security and governance standards.
Location: Toronto, ON
Work Model: Hybrid, 4 days onsite
Employment Type: Contract
Start: around November 2, 2026 (initial term to December 31, 2026)
RESPONSIBILITIES
- Design and implement scalable data pipelines using GCP native services
- Collaborate with business stakeholders and data science teams to gather requirements and define solution designs
- Design data integration patterns that align with enterprise architecture and governance standards
- Work with technical, security and governance teams to obtain approvals for solution designs and integrations
- Develop and optimize data processing solutions using BigQuery and Dataflow
- Build and maintain cloud-native services using Cloud Run and Cloud Functions
- Design and implement event-driven architectures using Pub/Sub
- Develop data storage solutions using Cloud Storage and Firestore
- Create and maintain Infrastructure as Code using Terraform
- Implement and support CI/CD pipelines using Azure DevOps
- Monitor, troubleshoot and optimize data platform performance and reliability
- Create technical documentation, architecture diagrams and implementation standards
- Support cloud migration, modernization and continuous improvement initiatives
QUALIFICATIONS, SKILLS & EXPERIENCE
- Experience designing and delivering cloud-based data platforms and enterprise-scale data solutions
- Strong hands-on experience with Google Cloud Platform (GCP)
- Advanced experience with BigQuery, including data modeling, optimization, performance tuning and best practices
- Experience building data processing pipelines using Dataflow with Python
- Strong SQL development skills
- Strong Python development experience
- Experience developing solutions using Cloud Run and/or Cloud Functions
- Experience with Pub/Sub for event-driven architectures and data integration
- Experience with Cloud Storage and Firestore
- Experience implementing Infrastructure as Code using Terraform
- Experience implementing and supporting CI/CD pipelines using Azure DevOps