Lead Big Data Solution Architect remote vacancies | EPAM Anywhere
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Lead Big Data Solution Architect

Lead Big Data Solution Architect 40 hrs/week, 12+ months

Currently, we are looking for a smart, passionate, and creative remote Lead Big Data Solution Architect.

Our ideal candidate will possess skills that make them a subject matter expert in various big data technologies and data science. These roles will entail architecture analysis, design, client management, and other skills.


  • Lead a cross functional team of 6-10 members using Scrum methodology
    • Provide technical assistance, mentorship and guidance to team members
      • Communicate with Product Owner and customer to clarify the project requirements
        • Develop proposals for implementation and design of scalable big data architecture
          • Participate in customer’s workshops and presentation of the proposed solution
            • Design, implement, and deploy high-performance, custom applications at scale on Hadoop
              • Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic
                • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
                  • Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
                    • Review and audit of existing solution, design and system architecture
                      • Perform profiling, troubleshooting of existing solutions
                        • Create technical documentation


                          • 5+ years’ of experience in programming and scripting languages such as Java, Python, Ruby
                            • Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra
                              • Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce or Pivotal Cloud Foundry
                                • Experience in client-driven large-scale implementation projects
                                  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
                                    • Technical team leading and team management experience, deep understanding of Agile (Scrum), RUP programming process
                                      • Strong experience in applications design, development and maintenance
                                        • Solid knowledge of design patterns and refactoring concepts
                                          • Practical expertise in performance tuning and optimization, bottleneck problems analysis
                                            • Solid technical expertise & troubleshooting skills
                                              • Possess expertise in Object-Oriented Analysis and Design
                                                • English level: Upper-Intermediate+ (B2+)
                                                  Big DataJava

                                                  Benefits in eligible locations


                                                  For you

                                                  • Voluntary health insurance for you (100% covered) and your family (with corporate discount)
                                                  • Individual sessions with professional psychologists and coaches
                                                  • Free corporate sports and wellness programs
                                                  • Stable income
                                                  • Paid time off

                                                  For your comfortable work

                                                  • 100% remote work forever
                                                  • Free licensed software
                                                  • Possibility to work on your own device (BYOD)
                                                  • Stable workload
                                                  • Relocation opportunities
                                                  • Flexible engagement models

                                                    For your growth

                                                    • Free trainings for technical and soft skills
                                                    • Access to LinkedIn Learning platform
                                                    • Language courses
                                                    • Access to internal and external e-Libraries
                                                    • Certification opportunities
                                                    • Skill advisory service

                                                      40 hrs/week

                                                      Hours per week

                                                      12+ months

                                                      Project length

                                                      Belarus, Russia, Ukraine

                                                      Locations eligible for the position