GCP Data Solution Architect

Ajna Infotech

GCP Data Solution Architect

Irving, TX
Full Time
Paid
  • Responsibilities

    Job Description

    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.)
  • Qualifications

    Additional Information

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