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GCP Architect
Aarorn Technologies Inc
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
À propos
Location: Toronto, ON (4x onsite a week)
Employment Type: Contract
Pay Rate: CAD$70 - $75/HR INC
Job Description
Key Responsibilities
Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture.
Prepare technical architecture and design, clarify requirements, and resolve ambiguities.
Develop solutions in line with established technical designs, integration standards, and quality processes.
Create and enforce technical design and development guides, templates, and standards.
Design templates or scripts to automate routine development or operational tasks.
Design end-to-end data architectures on GCP, ensuring scalability, performance, and cost efficiency.
Define best practices for data governance, metadata management, and compliance.
Data Management & Governance.
Implement frameworks for data quality, lineage, cataloging, and security.
Collaborate with stakeholders to enforce governance policies across data pipelines.
Big Data & ETL Pipelines.
Architect and optimize ETL/ELT pipelines using GCP services (e.g., Dataflow, Dataproc, BigQuery, Pub/Sub, Cloud Composer).
Ensure efficient ingestion, transformation, and storage of large-scale datasets & Databricks Integration.
Design and manage Databricks clusters for advanced analytics, machine learning, and big data processing.
Optimize Spark-based workflows for performance and cost.
Required Skills & Experience
Proven experience as a Cloud Architect (preferably GCP-certified).
Strong knowledge of data management principles and data governance frameworks.
Hands-on expertise with Big Data technologies (Spark, Hadoop, Kafka, Databricks).
Proficiency in ETL pipeline design and optimization.
Deep understanding of GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, IAM, Cloud Composer.
Experience with Databricks for big data analytics and ML workflows.
Strong problem-solving, communication, and stakeholder management skills.
Preferred Qualifications
Google Cloud Professional Cloud Architect certification.
Experience with multi-cloud or hybrid architectures.
Familiarity with data security and compliance standards (GDPR, HIPAA, etc.).
Knowledge of DevOps practices and CI/CD pipelines for data solutions.
Disclaimer: AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.
Compétences linguistiques
- English
Avis aux utilisateurs
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