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GCP Data Solution Architect Principle

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: VG & Partners
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, AI Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Durham, NC, United States | Posted on 01/26/2023

What will you be doing day-to-day?

As a DATA ENGINEERING LEAD AND SOLUTIONS ARCHITECT, individual will have to forefront

and drive robust data engineering process to complement next gen data analytics using agile

methodologies in collaboration with the group of business analysts, data, devops, test and

release engineers to plan, estimate, architect the low level technical solution and execute the

project along with leading all the technical team on the project to ensure reliable, secure, and

What impact will you have in this role?

You must demonstrate a strong competency in helping to create and sustain an enterprise-wide

environment that fosters accountability, quality, commitment, growth, innovation and adhere

the best industrial standards. Individuals should work with geographically distributed teams on

technical challenges and process improvements.

Requirements What experience do you need to be successful in this role?
  • Min 5+ years relevant industry experience
  • Full-stack development, using client-side technologies (Angular

    JS, React or Vue JS) is a plus
  • Experience with troubleshooting, logging and monitoring tools
  • Exposure/willing to learn complex eCommerce implementations
  • Excellent oral and written communication skills
  • Experience of AWS and microservice architecture (desirable) is a plus
What technical skills are required to be successful in this role?
  • Technical certifications such as Google Cloud Data Engineer or advanced certifications in data science are a plus.
  • Experience with microservice patterns, API development, RESTful web services.
  • Experience with containerization technologies (Docker, Kubernetes)
  • Familiarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.)
  • Experience with data science models using AI/ML
  • Exposure to Network services
Benefits
  • 4 months parent leave
  • 6 weeks PTO
  • Tuition reimbursement and continuous education
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