Lead Solution Architect remote jobs | EPAM Anywhere

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Lead Big Data and Cloud Solution Architect

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

You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a remote Lead Big Data and Cloud Solution Architect. Scroll down to learn more about the position’s responsibilities and requirements.

Under the roof of the EPAM Big Data Competency Center, this team acts as the national point of attraction for subject matter experts in big data, analytics, and cloud computing. This opportunity allows you to make a direct impact through growth, influence, and contribution. You’ll also work alongside world class Big Data and advanced Analytics Engineers, AWS and Google Cloud Architects, Azure MVPs, pioneers of the big data movement, and contributors to open-source big data tech stack (Hadoop, in-memory grids, and streaming platforms).

Please, note that even though you are applying for this position, you still can be offered another projects to join within EPAM Anywhere.

Join EPAM Anywhere to quickly and easily find projects that match your knowledge and experience, while working with Forbes Global 2000 clients, building a successful IT career, and earning competitive rewards. The platform provides additional perks, including a flexible schedule, professional development opportunities and access to a community of experts.


  • Strong knowledge of programming and scripting languages such as Java, Scala, Python, Go Expertise in object-oriented analysis and design
    • Knowledge of microservices/Service Mesh and API management concepts
      • Solid knowledge of design patterns and refactoring concepts
        • Solid knowledge of data platform design reference architectures (including data streaming and complex event processing at scale)
          • Experience with major big data technologies and frameworks including but not limited to Hadoop, Hive, Spark, Kafka, HBase or Cassandra, Elasticsearch; experience with any cloud platform (AWS, GCP, Azure)
            • Experience with any containerization platform (Kubernetes, OpenShift, Mesosphere, Docker Swarm) is a plus
              • Data science and analytics experience is a plus (recommendation engines, predictive modeling, machine learning, and search personalization)


                • Understand emerging and evolving customer usage models and business requirements in big data and analytics; design a solution to address requirements and specify linearly scalable implementations on-prem and in-the-cloud
                  • Develop proposals for the customer and participate in customer’s workshops and presentation of the proposed solutions
                    • Lead data engineering teams, kick-start projects and run proof of concepts in this field, deliver data products and data platforms adopted for load at scale and real-time
                      • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
                        • Develop roadmaps and implementation strategy around analytics and data science initiatives including recommendation engines, predictive modeling, and machine learning
                          • Review and audit of existing solutions, redesign of existing architectures
                            • Perform profiling, troubleshooting of existing distributed solutions
                              • Create technical documentation


                                • 5+ years of experience in requirements engineering, solution architecture, design, development, deployment and maintenance
                                  • Experience in client driven end-to-end large-scale implementation projects
                                    • Broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain; strong focus on back-ends, high-load, real-time, big data, IoT, cloud, analytics, and/or machine learning solutions
                                      • Strong knowledge of underlying infrastructure for big data solutions (clustered/distributed computing, storage, data center networking and solutions security)
                                        • Practical expertise in performance tuning and optimization, systems benchmarking, bottleneck problems analysis and troubleshooting skills

                                          Nice to have

                                          • Ability to work in a fast-paced agile development environment
                                            • Experience leading and managing technical teams with a deep understanding of Agile (Scrum, Kanban), RUP programming process
                                              • Mentorship and collaboration experience
                                                • Ability to help program and project managers in the design, planning and governance of implementing projects of any kind
                                                  • Ability to clearly articulate pros and cons of various technologies, platforms and solutions
                                                    • Willingness and ability to extend and gain new technical/architectural expertise
                                                      • Strong communication skills including representing your company in industry standards organizations or industry technical events in big data, analytics, cloud computing
                                                        • English level: Upper-Intermediate+ (B2+)

                                                          We offer

                                                          • Competitive compensation depending on experience and skills
                                                            • Work on enterprise-level projects on a long-term basis
                                                              • Full-time remote work
                                                                • Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
                                                                  • Community of 38,000+ industry's top professionals
                                                                    Big Data

                                                                    40 hrs/week

                                                                    Hours per week

                                                                    12+ months

                                                                    Project length

                                                                    Belarus, Russia, Ukraine

                                                                    Locations eligible for the position