GCP Data Solution Architect - Ajna Infotech

MSRcosmos is an IT Services subsidiary of the MSRcosmos Group,
A U.S.-based multinational conglomerate. MSRcosmos Group focused on diverse ventures ranging from IT services to real estate and education. Together, both companies believe that business success and serving humanity are symbiotic and strive to excel at both.

Role: GCP Data Solution Architect

Location:  Irving TX OR NJ-Remote

Duration: Full Time

Job Description

• 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.)

All your information will be kept confidential according to EEO guidelines.