What are the responsibilities and job description for the Google Cloud Platform Architect position at CIS Technologies Inc.?
Job Title: Google Cloud Platform Architect (Data & AI)
Location: Scottsdale, AZ (Local Candidates Only)
Key Responsibilities:
- 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.
Required Qualifications:
- 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.
Preferred Qualifications:
- 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.