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

Senior Big Data Solution Architect 40 hrs/week, 12+ months
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Currently, we are looking for a smart, passionate and creative remote Senior 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.


  • Development of proposals for implementation and design of scalable big data architecture;
    • Participation 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.


                    • Strong knowledge of programming and scripting languages such as Java, Python, Ruby, or R;
                      • 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: Intermediate+ (B1+)
                                            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