Data Solution Architect

Data Solution Architect

Responsibilities

• 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
  

Requirements

• Strong hands-on experience as a Big Data developer with a solid design/development background in Java, Scala, or Python
• Background in delivering data analytics projects and establishing architecture guidelines
• Expertise in big data platforms both on-premises and in the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
• Production project experience in at least one of the big data technologies
• Familiarity with big data technologies such as Spark, MapReduce, Hive and batch processing systems
• Understanding of NoSQL databases including Cassandra, HBase, Accumulo, or 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
  

Nice to have

• Experience working within a consulting business and pre-sales experience