Data Solution Architect

We are looking for a Data Solution Architect to make our team even stronger. 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 (B2 level)