Data Architect

We are looking for a Data Solution Architect to make our team even stronger.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

 

Responsibilities

  • Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
  • Participate in Data and Big Data initiatives on a company level
  • Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
  • Conduct solution architecture review/audit, calculate and present ROI
  • Create and present solution architecture documents with deep technical details to customer and implementation teams
  • Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
  • Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
  • Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
  • Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
  • Create and follow personal education plan in the technology stack and solution architecture
  • Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

  • Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
  • Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
  • Experience with building traditional Cloud Data Warehouses, Data Lakes
  • Knowledge of high load and IoT Data Platform architectures and infrastructures
  • Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
  • Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
  • Solid experience in continuous delivery tools and technologies
  • Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
  • Able to deliver Data Analytics projects and architecture guidelines
  • Strong in research, comparison, and selection of tools / technologies / approaches to be used
  • Practical experience in performance tuning and optimization, bottleneck problem analysis
  • Strong communication skills, experienced in team coordination skills and solution implementation supervision
  • Good in Agile development methodology, Scrum in particular
  • Solid skills in business analysis, network/stack architecture, troubleshooting, support
  • Fluent English
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