Senior Big Data Architect

Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation

Lead Data and Big Data initiatives on enterprise level as adept of data technologies

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 industry trends and best practices

Stay on cutting edge of data technologies and be the first one to propose & implement new technologies for the best business value of EPAM and its customers

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

Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python

Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Presale Support, Security

Vast experience in 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 (AWS, Azure, GCP) with architecting and leading the creation of automation frameworks to deploy Big Data and associated components as a service

Solid experience in continuous delivery tools and technologies

Extensive experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn

Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms

Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments

Experience delivering 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

Experienced in different business domains

Fluent English - B2 and higher