Data Solution Architect

Job description

We are looking for a Data Solution Architect to make our team even stronger.

Responsibilities

- Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution

- Participate in Data and Big Data initiatives on a company level

- 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 specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests

- Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"

- Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies

- 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 Data Architect with design/development background with Java, Scala, or Python

- Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security

- Experience with building traditional Cloud Data Warehouses, Data Lakes

- Knowledge of 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 in at least one of the Cloud providers (AWS, Azure, GCP)

- Solid experience in continuous delivery tools and technologies

- Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn

- Able to deliver 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

- Fluent English (B2 level)