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GCP Data Solution Architect Principle

  • Durham, NC, NC, United States

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Job details

Experience
Min 5+ years relevant industry experience
Posting language
English
Posted

Original job description

Location: Durham, NC – REMOTE NOT AVAILABLE

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

cost-effective distributed solutions.

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
  • Strong Java, AEM development
  • Full-stack development, using client-side technologies (AngularJS, 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 parental leave

6 weeks of PTO

Tuition reimbursement and continuous education

More about this job

Skills

  • Google Cloud
  • Data engineering
  • Data analysis
  • Collaboration
  • Oracle Java
  • Full-stack development
  • React
  • Vue.js
  • Troubleshooting
  • Communication skills
  • AWS
  • API development
  • Docker
  • Kubernetes
  • Data mining
  • ML

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