Data Solution Architect

Our team is seeking a Data Solution Architect to further strengthen our capabilities. Please be aware that this position allows remote work, but exclusively from within Ukraine. Responsibilities Collaborate with the business to gather solution requirements and identify essential case studies/scenarios in order to design the data solution Contribute to Data and Big Data initiatives at the corporate level Architect Data analytics solutions by leveraging the Data technology stack alongside Big Data methodologies Perform reviews/audits of solution architecture, while calculating and presenting ROI Produce and deliver solution architecture documentation with in-depth technical detail for both customers and implementation teams Engage in specific "pre-sale" activities tied to existing expertise and practice to draft technical proposals in response to customer inquiries Oversee solution implementation from defining project requirements and objectives through to "go-live" Sustain a comprehensive grasp of technical solutions, architecture design trends, and best practices while keeping pace with the latest Data technologies Continually expand expertise by reviewing and tracking EPAM's accumulated project experience and active client engagements across diverse business domains to advance EPAM's Data business Develop and adhere to a personal learning plan covering the technology stack and solution architecture Exchange experience, knowledge, and insights with EPAM, peers, and customer teams; take part in seminars, meetups, mentoring, and training initiatives; author white papers and presentations Requirements Substantial hands-on background as a Data Architect with a design/development foundation in Java, Scala, or Python Architectural expertise and practical knowledge covering Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, and Security Background in constructing conventional Cloud Data Warehouses and Data Lakes Extensive experience analyzing, designing, implementing, deploying, troubleshooting, and rebuilding distributed Linux-based platforms and Big Data solutions, both on-premises and in the Cloud Significant Cloud experience with at least one major provider (AWS, Azure, GCP) Proven background in continuous delivery tools and technologies Comprehensive exposure to Containers and Resource Management systems such as Docker, Mesos, Kubernetes/OpenShift, and Yarn Capable of delivering Data Analytics projects and architectural guidelines Skilled in researching, comparing, and selecting suitable tools/technologies/approaches Hands-on knowledge of performance tuning, optimization, and bottleneck analysis Excellent communication abilities, with proven experience in coordinating teams and overseeing solution implementation Proficient in Agile development practices, particularly Scrum Strong capabilities in business analysis, network/stack architecture, troubleshooting, and support Fluent English (B2 level)