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Architect

Architect

Virtusa
5-7 Years
Not Disclosed
  • Posted an hour ago
  • Be among the first 10 applicants

Job Description

Job Roles And Responsibilities

  • Own end-to-end offerings in the GCP data domain leveraging AI / Agentic technologies.

all the way until submitting the response to the client.

  • Gaining an understanding of our Current State and Target State Architecture and then working to define a strategy for our technical direction.
  • Gather and analyse requirements from product owners.
  • Develop target state cloud Architecture leveraging AI / Agentic technologies. for highly scalable and fault-tolerant applications to be reliable, massively scalable, highly available (99.999% uptime), and maintainable.
  • Collaborate with the security architect and seek advice in support of application security, Data Security, to ensure Confidentiality, Integrity & Availability.
  • Assess project requirements related to IT Infrastructure including correlation with client's data security policy and standards.
  • Collaborate and identify gaps in the solution to meet project requirements and work with relevant stakeholders to mitigate the risks.
  • Responsible for leading GCP data and infrastructure assessments
  • Create the offering artifacts – SoWs, Proposals, Pricing, and solution defence documents
  • Advise teams of IT technology regarding standard requirements, methodology and processes
  • Participates in proof of concepts to assist in defining technology direction and enabling business strategy

Technical Skills Required

  • Minimum 5 years hands-on designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services like, Cloud DataProc, Cloud Dataflow, Cloud BigQuery, Cloud PubSub, Cloud Functions.
  • Terraform, Python / Java Programming and SQL / Linux scripting Skills.
  • Working knowledge of GCP native AI / Agentic services
  • Planning and designing data architectures on GCP, including selecting appropriate data storage solutions such as Bigtable, BigQuery, Cloud SQL, and Cloud Spanner.
  • Migrating data from on-premises or other cloud platforms to GCP.
  • Creating and managing data pipelines for data ingress, transformation, and egress using GCP data services such as Dataflow, Dataproc, and Cloud Data Loss Prevention.

More Info

Job Type:
Industry:
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Key Skills

Cloud Spanner

Cloud Functions

GCP data and analytics services

Cloud Dataflow

Cloud DataProc

Cloud SQL

Cloud PubSub

GCP native AI Agentic services

Cloud BigQuery

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