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Technical Architect

Job in Dallas, Franklin County, Maine, USA
Listing for: Della Infotech, Inc.
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Big Data
Job Description & How to Apply Below
Location: Dallas

Role: GCP Data & Analytics Solution Architect

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 Big Query, GCS, Cloud Data Flow, Cloud Pub/Sub, Cloud Big Table 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 Big Query, Data Flow, Data Proc 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.)
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