What are the responsibilities and job description for the Cloud Solution Architect position at Miracle Software Systems, Inc?
Miracle Software Systems is looking for the Cloud Solution Architect on W2/Full time to our direct client . Please share your updated resume at spatro@miraclesoft.com or call me at 248-412-7134
Position Description:
We are seeking a highly skilled and experienced Cloud Solution Architect with a strong background in Master Data Management (MDM), Customer Domain architecture, and the Google Cloud Platform (GCP). As a Cloud Solution Architect, you will be responsible for designing, implementing, and managing robust, scalable, and secure cloud-based solutions on GCP, with a specific focus on building and optimizing our customer data landscape. You will collaborate with cross-functional teams, including data engineers, application developers, and business stakeholders, to deliver solutions that meet our business requirements and drive innovation.
Skills Required:
- Solution Design & Architecture: Design and architect end-to-end cloud-based solutions on GCP, focusing on MDM and Customer Domain requirements.
- Develop and maintain architectural blueprints, patterns, and standards for cloud deployments.
- Evaluate and select appropriate GCP 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 GCP.
- 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 GCP.
- 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.
- GCP Implementation & Management: Hands-on experience deploying and managing applications and services on GCP using Infrastructure as Code (IaC) tools (e.g., Terraform, Cloud Deployment Manager).
- Proficiency with GCP services such as: Cloud Storage, BigQuery, Cloud Dataproc Cloud Dataflow, Pub/Sub, Cloud run Implement and maintain robust security controls and compliance measures on GCP.
- Monitor and optimize cloud infrastructure performance and costs.
