EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Data Solution Architect (AWS, Databricks) to join our team.

The ideal candidate will have extensive experience designing and implementing data solutions using big data technologies, particularly on AWS and Databricks platforms. This role requires a deep understanding of data analytics solutions and the ability to work closely with business stakeholders to identify solution requirements and create impactful data architectures.

• Design data analytics solutions by utilising the big data technology stack
• Create and present solution architecture documents with deep technical details
• Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
• Conduct solution architecture review/audit, calculate and present ROI
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• 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
• Create and follow personal education plan in the technology stack and solution architecture
• Maintain a strong understanding of industry trends and best practices
• Get involved in engaging new clients to further drive EPAM business in the big data space

• Should have 14+ years of experience
• Strong 'hands-on' experience as a Big Data developer with a solid design/development background with Java, Scala, or Python
• Experience delivering data analytics projects and architecture guidelines
• Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
• Production project experience in at least one of the big data technologies
• Batch processing: Hadoop and MapReduce/Spark/Hive
• NoSQL databases: Cassandra/HBase/Accumulo/Kudu
• Knowledge of Agile development methodology, Scrum in particular
• Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
• Experience working within a consulting business and pre-sales experience would be highly attractive

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)