GCP Architect

5 days ago

Toronto, Ontario, Canada J&M Group Full time

Job Title: GCP Data Architect
Location:
Toronto, ON

Work Model:
Hybrid (4 days onsite per week)

Employment Type:
Full-Time / Contract

We are actively hiring a
Google Cloud Platform (GCP) Data Architect
to design, implement, and manage scalable, secure, and high-performing data solutions on GCP. The ideal candidate will have strong experience building modern data platforms leveraging services such as BigQuery, Dataflow, Dataproc, and Cloud Storage.

Key Responsibilities

  • Partner with business and functional teams to gather requirements and evaluate integration impacts on the overall enterprise architecture.
  • Define and document technical architecture, clarify solution requirements, and address design gaps.
  • Develop and implement solutions aligned with established architectural standards and quality frameworks.
  • Establish development standards, reusable templates, and best practices to ensure consistency and scalability.
  • Automate routine development and operational activities using scripts and reusable frameworks.
  • Design comprehensive end-to-end data architectures on GCP, focusing on scalability, performance, reliability, and cost optimization.
  • Define and implement best practices for data governance, metadata management, security, and compliance.

Data Management & Governance

  • Build and enforce frameworks for data quality, lineage, cataloging, and access control.
  • Work closely with stakeholders to ensure governance policies are consistently applied across data pipelines.

Big Data & ETL/ELT Architecture

  • Design and optimize data ingestion and transformation pipelines using GCP tools such as Dataflow, Dataproc, BigQuery, Pub/Sub, and Cloud Composer.
  • Ensure efficient processing and storage of large-scale structured and unstructured datasets.
  • Architect and manage Databricks environments for advanced analytics and machine learning use cases.
  • Optimize Spark-based processing workloads for performance and cost efficiency.

Required Qualifications

  • Demonstrated experience as a Cloud Architect, preferably within GCP environments.
  • Strong understanding of data architecture principles and governance models.
  • Hands-on expertise with big data technologies including Spark, Hadoop, Kafka, and Databricks.
  • Proven experience designing and optimizing ETL/ELT pipelines.
  • In-depth knowledge of core GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, and Cloud Composer.
  • Strong analytical, communication, and stakeholder engagement skills.

Preferred Qualifications

  • Google Cloud Professional Cloud Architect certification.
  • Experience with hybrid or multi-cloud environments.
  • Familiarity with data privacy and compliance standards (e.g., GDPR, HIPAA).
  • Understanding of DevOps methodologies and CI/CD practices for data engineering solutions.

If You Want, I Can Also

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