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Solution Design & Architecture (Cloud-Based Google Cloud Platform) - Only W2

Patton Labs Inc.
Dearborn, MI Remote Full Time
POSTED ON 4/21/2025 CLOSED ON 4/23/2025

What are the responsibilities and job description for the Solution Design & Architecture (Cloud-Based Google Cloud Platform) - Only W2 position at Patton Labs Inc.?

Job Details

Top Requirements:

  1. Bachelor Degree or Masters degree in Computer Science, Engineering or a related field
  2. 8 years of experience in IT with a focus on cloud architecture and solution design.
  3. 3 years of experience working with Google Cloud Platform (Google Cloud Platform) or other cloud platforms. With a strong understanding of cloud security
  4. 2 years of experience in MDM and Customer Domain architecture, experience with data modeling, data governance, and data quality.
  5. Experience with Infrastructure as code tools Terraform, Cloud Deployment Manager, and scripting languages Java, Python, Bash.

Skills Required:

Solution Design & Architecture: Design and architect end-to-end cloud-based solutions on Google Cloud Platform, focusing on MDM and Customer Domain requirements. Develop and maintain architectural blueprints, patterns, and standards for cloud deployments. Evaluate and select appropriate Google Cloud Platform services and technologies to meet business needs. Hands on experience with Kubernetes / OpenShift / GKE Ensure solutions are scalable, secure, reliable, and cost-effective. Design and implement data integration pipelines for ingesting, transforming, and loading data into Google Cloud Platform. MDM and Data Engineeging Deep understanding of MDM principles, data governance, and data quality best practices. Experience designing and implementing MDM solutions for customer data, including data modeling, matching, merging, and cleansing. Experience with Customer Data Platforms (CDPs) and their integration with Google Cloud Platform. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their implications for customer data management. Knowledge of Data Warehousing, Data Lake, Lakehouse, Data Mesh and Data Fabric Architectures Knoweldge of ETL, Data Engineering, Data management practices. Google Cloud Platform Implementation & Management: Hands-on experience deploying and managing applications and services on Google Cloud Platform using Infrastructure as Code (IaC) tools (e.g., Terraform, Cloud Deployment Manager). Proficiency with Google Cloud Platform services such as: Cloud Storage, BigQuery, Cloud Dataproc Cloud Dataflow, Pub/Sub, Cloud run Implement and maintain robust security controls and compliance measures on Google Cloud Platform. Monitor and optimize cloud infrastructure performance and costs.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $60 - $80

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