GCP Cloud Architect/Engineer

Adastra Corporation•Markham, ON

1d•Hybrid

About The Position

Adastra is 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.

Requirements

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 Haves

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

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