Google Cloud Platform Architect
CIS Technologies Inc.
Scottsdale, AZ, United States
6 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Airflow
Big Data
BigQuery
Cloud Engineering
Cloud Storage
Data Governance
Data Migration
Data Systems
DevOps
Data Flow Control
Identity and Access Management
+10 more
Machine Learning
Performance Tuning
Query Optimization
Cloudera
Google Cloud
Multi-Cloud
Machine Learning Operations
Terraform
Looker Analytics
Data Pipelines
Job description
- Design, architect, and implement end-to-end data solutions on Google Cloud Platform.
- Lead large-scale data migration efforts from on-premises and/or other cloud platforms to Google Cloud Platform.
- Build and optimize robust, scalable data pipelines using tools such as Dataflow, Dataproc, Pub/Sub, and Cloud Composer.
- Develop and manage data warehousing solutions using BigQuery, including schema design, partitioning, clustering, and query optimization.
- Design and deploy machine learning models and AI solutions using Vertex AI.
- Collaborate with cross-functional teams including data engineers, data scientists, and business stakeholders to translate requirements into technical solutions.
- Establish and enforce cloud architecture best practices, security standards, and governance policies.
- Provide technical leadership and mentorship to junior architects and engineers.
- Monitor, troubleshoot, and optimize Google Cloud Platform environments for performance and cost efficiency.
- Stay current with emerging Google Cloud Platform services and features, and recommend adoption where appropriate.
Requirements
- 10+ years of experience in cloud architecture, with a strong focus on Google Cloud Platform.
- Must hold a valid Google Cloud Professional Architect certification.
- Proven experience in data migration and building data pipelines at enterprise scale.
- Deep hands-on expertise with BigQuery (schema design, performance tuning, cost optimization).
- Hands-on experience with Vertex AI for building and deploying ML models.
- Strong understanding of Google Cloud Platform services including Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and IAM.
- Experience with Infrastructure as Code (Terraform, Deployment Manager).
- Solid understanding of data governance, security, and compliance best practices in the cloud.
- Excellent communication and stakeholder management skills., * Experience in the healthcare or life sciences industry.
- Familiarity with CI/CD pipelines and DevOps practices on Google Cloud Platform.
- Experience with Looker, Data Studio, or other BI tools.
- Knowledge of hybrid and multi-cloud architectures.
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