Google Cloud Platform Data Architect

Chicago, IL, US • Posted 5 hours ago • Updated 5 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Solution Architecture
  • Legacy Systems
  • Roadmaps
  • Network
  • Data Modeling
  • Extract
  • Transform
  • Load
  • ELT
  • Reporting
  • Analytical Skill
  • Data Flow
  • Use Cases
  • Data Warehouse
  • Migration
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Cloud Computing

Summary

Title:

Sr Google Cloud Platform Data Architect - Onsite role

Location : Onsite - Chicago, IL

Type: contract

Background of the engagement:

Customer initiated modernizing their current Data workloads into Azure couple of years ago and had to stop after realizing that there were performance issues. The customer has now finalized to move them into Google Cloud Platform stack/BigQuery. They are looking for a strong Google Cloud Platform Data Architect (10+ years of IT experience majorly in the Data Engineering background) who can help them build the way forward Solution Architecture through assessing the current state of data workloads sitting in Azure as well legacy systems. The outcome is a tailored Google Cloud Platform migration roadmap and implementation plan. This also includes securing network and access roles in Google Cloud Platform for data and apps, and redesigning data model and data-pipelines as per Google Cloud Platform offerings.

Expectations

1. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, and environments

2. Experience in Architecting and designing solutions leveraging services like Bigquery, Clod Data Flow, Cloud Pub Sub, Cloud Bigtable

3. Min one year Experience in Architecting applications for Google Cloud platform

4. Discover the key Data workloads and use cases. Identify key business requirements and define measurable migration goals for customer's data warehouse migration journey

5. Assess and provide a view of potential risks and opportunities before beginning data warehouse modernization. Analyse current systems to understand priorities and technical debt as well as system logic and complexity.

6. Added advantage if the candidate has done Cloud to Cloud Data warehouse migration (AWS to Google Cloud Platform, Azure to Google Cloud Platform etc.)

7. Google Cloud Certification or other cloud certification desired
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 80183517
  • Position Id: c0f59b60ed3bb2c3af6fc5ca5e8a62ee
  • Posted 5 hours ago
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