Cloud Architect
- Toronto, ON, Canada
$75 CAD / hour · Contract
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Job details
- Pay
- $75 CAD / hour
- Job type
- Contract
- Apply by
- Posting language
- English
- Posted
Original job description
Role : GCP Cloud Architect
Location: Toronto (Hybrid - 4 day/week )
Job type: Contract(6 Months) - High possibility of Extension
Pay : CAD $75 /Hour
Start date : Immediate
Overview:
We are seeking a GCP Cloud Architect/Engineer to design and implement scalable data solutions using Google Cloud Platform (GCP). This role 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. The successful candidate will be responsible for designing modern data pipelines, enabling data-driven decision making, and ensuring solutions align with enterprise architecture, security, and governance standards.
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 leveraging Cloud Storage and Firestore
- Create and maintain Infrastructure as Code solutions 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 working 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
More about this job
Responsibilities
Design and deliver scalable, cloud-native data platforms and pipelines on Google Cloud, using services such as BigQuery, Dataflow, Cloud Run, Cloud Functions, and Pub/Sub. Collaborate with stakeholders and governance teams, implement infrastructure and CI/CD practices, and support platform reliability, modernization, and documentation.
Requirements
Requires hands-on GCP architecture and data platform experience, advanced BigQuery skills, and strong Python and SQL development capabilities. Candidates should also have experience with Terraform, Azure DevOps, cloud security and governance, and collaborating with business and technical stakeholders; a bachelor's degree or equivalent practical experience is specified.
Skills
- Google Cloud Platform
- BigQuery
- Dataflow
- Python
- SQL
- Cloud Run
- Cloud Functions
- Pub/Sub
- Cloud Storage
- Firestore
- Terraform
- Azure DevOps
- Data Pipeline Design
- Cloud Architecture
- Cloud Security
- Data Modeling
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Data & Analytics
- Software
- Engineering
- Consulting
Keywords
- Google Cloud Platform
- BigQuery
- Dataflow
- Python
- SQL
- Cloud Run
- Cloud Functions
- Pub/Sub
- Cloud Storage
- Firestore
- Terraform
- Azure DevOps
- Dataproc
- Cloud Composer
- Google Kubernetes Engine
- Vertex AI
- AWS
- Azure
- Data Pipelines
- Data Modeling
- Event-Driven Architecture
- Infrastructure as Code
- CI/CD
- Cloud Security
- Data Governance
- Data Quality
- Site Reliability Engineering
- FinOps
- Cloud Migration
- Data Warehousing