EPAM is committed to providing our global team of more than 41,150 EPAMers with inspiring careers from day one. EPAMers think creatively and lead with passion and honesty. Our people are the source of our success. We value collaboration, work in partnership with our customers, and strive for the highest standards of excellence. In today’s market conditions, we’re supporting operations for hundreds of clients around the world remotely. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.
DESCRIPTION
We are looking for a Big Data Solution Architect with 10+ years of IT experience, who has solid background with different platforms and strong focus on back-ends / high-load / real-time / Big Data / IoT / Cloud / Analytics Solutions.
Responsibilities
Work closely with business in identifying solution requirements and key case-studies/scenarios to architect data solution for business transformation
Lead Data and Big Data initiatives on enterprise level as adept of data technologies
Design data analytics solutions by utilizing the data technology stack with Big Data techniques
Conduct solution architecture review/audit, calculate and present ROI
Create and present solution architecture documents with deep technical details to customer and implementation teams
Participate in the full cycle of “pre-sale” activities to prepare technical proposals on customer requests: direct communications with customers, RFP processing, the development of proposals for implementation and design of the solution, presentation for proposed solution architecture to the customer and participate in technical meetings with customer representatives
Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
Maintain a strong understanding of industry trends and best practices
Stay on cutting edge of data technologies and be the first one to propose & implement new technologies for the best business value of EPAM and its customers
Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in data field
Create and follow personal education plan in the technology stack and solution architecture
Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations
Requirements
Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation, Presale Support, Security
Core professional expertise covers: Platform Architecture, Data Pipelines Architecture and Data Analysis, Infrastructure Deployment and Management, Security, Performance & Optimization
Strong in conducting architecture researches, designing, analyzing, presenting and implementation of technical solutions in enterprise data field to address business needs
Capable to ramp-up Big Data teams, kick-off Big Data projects (up to continuous delivery), lead & supervise high complexity implementations from requirements gathering to production support phases
Able to lead Data and Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies
Driven towards success by a thirst for knowledge, staying expert in enterprise data technology field
Vast experience in high load and IoT Data Platform architectures and infrastructures
Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in cloud
Strong cloud experience (AWS, Azure, GCP) with architecting and leading the creation of automation frameworks to deploy Big Data and associated components as a service
Solid experience in continuous delivery tools and technologies
Extensive experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
Experience and hands-on with TB & PB scale analytics platform, understanding and theoretical knowledge for developing and building such kind of platforms
Able to lead Big Data initiatives on enterprise level and to architecture customer business transformations with data technologies
Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
Experience delivering data analytics projects and architecture guidelines
Strong in research, comparison and selection of tools / technologies / approaches to be used
Practical experience in performance tuning and optimization, bottleneck problem analysis
Strong communication skills, experienced in team coordination skills and solution implementation supervision
Good in Agile development methodology, Scrum in particular
Solid skills in business analysis, network/stack architecture, troubleshooting, support
Solid Cloud experience with 2 or more leading cloud providers (AWS/Azure/GCP) and reference architectures: Storage; Compute; Networking; Identity and Security; NoSQL; RDBMS and Cubes; Big Data Processing; Queues and Stream Processing; Serverless; Data Analisis and Visualization; ML
Big Data Architecture design patterns: Lambda, Kappa, Data Lake, Enterprise Data Warehouse; Event Grids
