Big Data Architect (m / f / d)

  • EPAM Systems
  • Frankfurt am Main, Germany
  • 09/10/2019
Full time Data Science Data Analytics Big Data Statistics

Job Description

Currently we are looking for a Big Data Architect (m / f / d) for our Frankfurt office.

These are high profile and visible roles within both EPAM and onsite with our clients where you want to have a high degree of flexibility to own and enhance the technical landscapes.

Responsibilities

  • Design data analytics solutions by using the big data technology stack
  • Create and present solution architecture documents with deep technical details
  • Work closely with business in identifying solutions 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
  • Create and follow personal education plan in the technology stack and solution architecture
  • Maintaining a strong understanding of industry trends and best practices
  • EPAM business in the big data space

Requirements

  • Strong 'hands-on' experience as a Big Data Architect with a solid design 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 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 with clients in 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 modeling and challenges 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

  • Competitive compensation depending on experience and skills
  • Regular performance assessments
  • Opportunities for personal and professional growth
  • Friendly and enjoyable working team
  • Relocation package support
  • Regular corporate and social events
  • 30 days holiday per annum
  • Unlimited access to LinkedIn learning solutions

Learn more about EPAM in Germany