Solution Architect - Big Data

Data Software Engineering, Scala, Python.Core, Big Data, Apache Spark, Apache Hadoop, Spark Streaming, Amazon Web Services, Microsoft Azure

Bangalore, Hyderabad, Pune, Chennai, Gurgaon

We are looking for Solution Architects for data-driven projects to join our Data Practice team in India. Together we design and drive lots of solutions that generate value from data, taking advantage of scalable platforms, cutting-edge technologies, and machine learning algorithms. We provide a solid architecture framework, educational programs, and a strong SA community to support our new Architects in a deep dive into the data domain.

Responsibilities

Design data analytics solutions by utilising the big data technology stack
Create and present solution architecture documents with deep technical details
Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
Conduct solution architecture review/audit, calculate and present ROI
Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
Participate in the full cycle of pre-sale activities: 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
Create and follow personal education plan in the technology stack and solution architecture
Maintain a strong understanding of industry trends and best practices
Get involved in engaging new clients to further drive EPAM business in the big data space

Requirements

Should have minimum experience of 12+ yrs
Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
Experience delivering data analytics projects and architecture guidelines
Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
Production project experience in at least one of the big data technologies
Batch processing: Hadoop and MapReduce/Spark/Hive
NoSQL databases: Cassandra/HBase/Accumulo/Kudu
Knowledge of Agile development methodology, Scrum in particular
Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
Experience working within a consulting business and pre-sales experience would be highly attractive