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Big Data Architect Remote

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Big Data Architect Description

Job #: 83305
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

DESCRIPTION


We are looking for a Big Data Architect to join our team! This is a high-profile role, leading the design of leading edge Big Data solutions and platforms, across a number multiple high profile customer engagements.

Responsibilities

  • Design data analytics solutions by utilizing 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

  • Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
  • Good experience with Snowflake
  • 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
  • Fluent English

Nice to have

  • Practical experience in performance tuning and optimization, bottleneck problem analysis
  • Experience in Linux based environments
  • Understanding of data modelling challenges and techniques in an enterprise environment
  • Stream processing: Kafka / Flink / Spark Streaming / Storm
  • Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)

We offer

  • We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
  • Full access to cutting-edge tools and technologies
  • Competitive compensation depending on experience and skills
  • All-around Social package: professional & soft skills training, medical & family care programs, sports
  • Relocation opportunities
  • Free English classes
  • Unlimited access to LinkedIn learning solutions
  • Continuous experience exchange with experts and professionals worldwide
  • Friendly team and comfortable working environment
  • Engineering, corporate, and social events within and outside the Company
  • Flexible working schedule
  • Opportunities for self-realization

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