Data Solutions Architect

We are currently seeking a Solution Architect who specializes in data-driven projects to become a part of our Data Practice team in Ukraine.

 

Responsibilities

  • Architect data analytics solutions by leveraging the big data technology stack
  • Develop and present detailed technical solution architecture documents
  • Collaborate with business stakeholders to define solution requirements and explore case studies/scenarios for future solutions
  • Perform solution architecture reviews/audits, compute and present ROI
  • Manage the implementation of solutions from setting project requirements and objectives to the solution “go-live”
  • Engage in the entire spectrum of pre-sale activities, including direct communication with customers, RFP processing, crafting implementation proposals, and solution architecture presentations to clients, as well as participation in technical discussions with client representatives
  • Construct and adhere to a personal education plan in technology stack and solution architecture
  • Develop a robust understanding of industry trends and best practices
  • Participate in the acquisition of new clients to expand EPAM’s business in the big data sector

 

Requirements

  • Minimum of 7 years' experience required
  • Proficiency in hands-on roles as a Big Data Architect with a strong design/development background in Java, Scala, or Python
  • Background in delivering data analytics projects and architecture guidelines
  • Skills in big data solutions, both on-premises and on cloud platforms such as Amazon Web Services, Microsoft Azure, and Google Cloud
  • Production project experience with at least one big data technology is essential
  • Batch processing expertise: Hadoop, MapReduce/Spark/Hive
  • Understanding of NoSQL databases: Cassandra, HBase, Accumulo, Kudu
  • Familiarity with Agile development methodology, particularly Scrum
  • Competency in client communication and pre-sales business-consulting to large enterprise environments
  • Experience within a consulting firm and pre-sales backgrounds are highly desirable
  • Upper-Intermediate level in English, both spoken and written (B2+)

 

Required languages

English B2 - Upper Intermediate
Data Architect, GCP, Azure, AWS, Azure Databricks, Spark, Kafka, ETL, DWH, Big Data
Published 1 September
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4 applications
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