Who We Are
Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.
Job Description
Job Title : GCP Data & Analytics Solution Architect
Job Type : W2 / C2C / 1099
Experience : 12-15 Years
Location : New Jersey / Irving, Texas
Responsibilities
- 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.)
Qualification
- Bachelor's degree or equivalent combination of education and experience.