Big Data Solution Architect

<br/><br/>RESPONSIBILITIES<ul><li>Design data analytics solutions by utilising the big data technology stack</li><li>Create and present solution architecture documents with deep technical details</li><li>Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions</li><li>Conduct solution architecture review/audit, calculate and present ROI</li><li>Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"</li><li>Participate in the full cycle of pre-sale activities: 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</li><li>Create and follow personal education plan in the technology stack and solution architecture</li><li>Maintain a strong understanding of industry trends and best practices</li><li>Get involved in engaging new clients to further drive EPAM business in the big data space</li></ul><br/>REQUIREMENTS<ul><li>Should have minimum experience of 12+ yrs</li><li>Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python</li><li>Experience delivering data analytics projects and architecture guidelines</li><li>Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)</li><li>Production project experience in at least one of the big data technologies</li><li>Batch processing: Hadoop and MapReduce/Spark/Hive</li><li>NoSQL databases: Cassandra/HBase/Accumulo/Kudu</li><li>Knowledge of Agile development methodology, Scrum in particular</li><li>Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments</li><li>Experience working within a consulting business and pre-sales experience would be highly attractive</li></ul><br/>WE OFFER<ul><li>Opportunity to work on technical challenges that may impact across geographies</li><li>Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications</li><li>Opportunity to share your ideas on international platforms</li><li>Sponsored Tech Talks &amp; Hackathons</li><li>Unlimited access to LinkedIn learning solutions</li><li>Possibility to relocate to any EPAM office for short and long-term projects</li><li>Focused individual development</li><li>Benefit package</li><ul><li>Health benefits</li><li>Retirement benefits</li><li>Paid time off</li><li>Flexible benefits</li></ul><li>Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)</li></ul>