Position: Big Data Architect
Company: EPAM
Category: Lead
Experience required: 5y
English level: fluent

Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation
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 the full cycle of “pre-sale” activities to prepare technical proposals on customer requests: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives
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
7+ years 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