GCP Cloud Architect

Aarorn Technologies Inc; Toronto; Hybrid; CAD 68,880 - 89,544; Part time

Job summary

A leading IT consulting firm in Toronto is seeking an experienced GCP Cloud Architect. The successful candidate will design and implement scalable data solutions using Google Cloud Platform. Responsibilities include developing ETL workflows, optimizing data storage with BigQuery, and ensuring data governance. This mid-senior level role requires strong problem-solving and communication skills, along with expertise in GCP services. The position demands hands-on experience with Spark Serverless and Spark on GKE, alongside effective collaboration with stakeholders.

Qualifications

• Strong experience with Google Cloud Platform architecture and services.
• Hands-on experience with Spark Serverless and Spark on GKE for ETL workflows.
• Proficiency in BigQuery, CloudSQL, Cloud Functions, and Cloud Run.

Responsibilities

• Architect and design cloud-native solutions on GCP for data processing and analytics.
• Design ETL workflows leveraging Spark Serverless and Spark on GKE for large-scale data pipelines.
• Optimize data storage and querying using BigQuery and CloudSQL.

Skills

Google Cloud Platform architecture

Spark Serverless

Spark on GKE

BigQuery

CloudSQL

Cloud Functions

Cloud Run

data governance

problem-solving

communication

Job description

Job Title

GCP Cloud Architect

Location

Toronto, ON (3x onsite a week)

Employment Type

Contract

Pay Range

CA$50.00/hr - CA$65.00/hr

Job Description

We are seeking an experienced GCP Cloud Architect with strong expertise in designing and implementing scalable data solutions on Google Cloud Platform. The ideal candidate will have hands‑on experience in building ETL workflows using Spark Serverless and Spark on GKE, along with proficiency in GCP‑native services for data processing, monitoring, and governance.

Key Responsibilities

• Architect and design cloud‑native solutions on GCP for data processing and analytics.
• Design ETL workflows leveraging Spark Serverless and Spark on GKE for large‑scale data pipelines.
• Optimize data storage and querying using BigQuery and CloudSQL.
• Ensure robust data governance, quality, and lineage across all data platforms.
• Implement logging and monitoring solutions using Cloud Logging, Cloud Monitoring, and Stackdriver.
• Establish alerting and observability practices for data workflows and infrastructure.
• Enforce best practices for data security, compliance, and governance within GCP environments.
• Collaborate with data engineers, analysts, and business stakeholders to deliver scalable and reliable solutions.
• Provide technical guidance and mentorship to team members on GCP best practices.

Required Skills And Qualifications

• Strong experience with Google Cloud Platform architecture and services.
• Hands‑on experience with Spark Serverless and Spark on GKE for ETL workflows.
• Proficiency in BigQuery, CloudSQL, Cloud Functions, Cloud Run, and GCP‑native data services.
• Knowledge of data governance, data quality, and data lineage frameworks in GCP.
• Experience implementing Cloud Logging, Cloud Monitoring, and observability tools.
• Strong problem‑solving, communication, and stakeholder management skills.

Preferred Qualifications

• GCP Professional Cloud Architect certification.
• Experience with Kubernetes and CI/CD pipelines.
• Familiarity with data security and compliance standards such as GDPR and HIPAA.

Seniority level

Mid‑Senior level

Job Function

Engineering and Information Technology

Industry

IT Services and IT Consulting

Disclaimers

As part of our hiring process, we may use automated or AI‑based tools to support candidate screening and application review. These tools are used to assist decision‑making and do not replace human judgment.