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GCP Architect

2 months ago

Dallas, United States Amaze Systems Inc. Full time
Job DescriptionJob Description

Please take a look of the below job position and revert me back with your updated resume.

Role: GCP Architect

Location : Dallas, TX or NJ - Onsite

  • GCP Data & Analytics Solution Architect with 12+ years of experience in Data Analytics and Big Data.
  • An experienced Solutions Architect well versed in designing & modernizing big data architectures on Google Cloud Platform (GCP).
  • Responsible for design, development, implementation, operation improvement and debug BI & Big Data Analytics environments on premise or on Google Cloud Management Platform.
  • Preferred Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow.
  • Have a good understanding of Google best practice/recommendation and should be able to align the same with the customer requirements to deliver best in class solution for the customer s Analytics requirements.
  • Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.).
  • Working knowledge of microservices using Docker and Kubernetes
  • Migration of Workloads from on premise/other public clouds to Google Cloud Platform.
  • Work closely with Operations team to size, scale and tune existing and new architecture.
  • Manage and provision the cloud solution infrastructure (network, storage and compute resources) and ensure legal compliance and security standards.
  • Manage and design Data Security Solution (Encryption/ Access Control/Storage Management) and ensure legal data privacy compliance i.e GDPR
  • Familiarity with real time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data and relational data
  • Preferred experience on capacity planning for new initiatives on Google Cloud (including sizing for storage, compute, network, etc.)