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Lead Solution Architect (Business Intelligence / Big Data)

  • Zurich, Switzerland
Job #: 44563
Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of 30,100+ EPAMers with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

DESCRIPTION


Join us at one of the fastest growing Platform Software Engineering Organisations in the world!

With over twenty years’ experience of crafting market leading software, our business has been rapidly evolving and is now a global player in solving business challenges and developing tailor made cutting edge solutions.
These challenges require a highly skilled workforce imagining, designing, engineering, and delivering software, through to business consulting services & customer experiences, which are changing the world around us.

Within EPAM we establish a consultancy branch to help top-tier clients solve their most complex business and technology issues and to advise them on new technologies. As a Big Data Solution Architect, you will be responsible for conducting activities associated with selling core business consulting capabilities to leading organizations from different branches.

Responsibilities

  • Drive European Big Data Projects and provide technical guidance and solutions
  • Develop proposals for implementation and design of scalable big data architecture
  • Participate in customer workshops and presentation of the proposed solutions
  • Design, implement, and deploy high-performance, custom applications at scale on Hadoop
  • Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic
  • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
  • Develop roadmaps and implementation strategy around data science initiatives including recommendation engines, predictive modeling, and machine learning
  • Review and audit of existing solution, design and system architecture
  • Perform profiling, troubleshooting of existing solutions
  • Create technical documentation
  • Drive new business and get involved in pre-sales activities whilst overseeing and managing Big Data Architects and remote team members who are involved in key projects

Requirements

  • Solid experience in a Technical Leadership role
  • Experience of driving large scale Big Data Architecture projects
  • Consultancy background is strongly desired as there is a strong focus of managing senior customer relationships at a technical and business level
  • Hands on technical/architecture experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra
  • Hands on experience of knowledge of programming and scripting languages such as Java, Python, Scala
  • Experience with Big Data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce or Pivotal Cloud Foundry
  • Experience in client-driven large-scale implementation projects
  • Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization)
  • Technical team leading and team management experience, deep understanding of Agile (Scrum), RUP programming process
  • Strong experience in applications design, development and maintenance
  • Solid knowledge of design patterns and refactoring concepts
  • Practical expertise in performance tuning and optimization, bottleneck problems analysis
  • Experience in Object-Oriented Analysis and Design
  • Fluent oral and written English

We offer

  • Experience exchange with colleagues all around the world
  • Competitive compensation depending on experience and skills
  • Regular assessments and salary reviews
  • Develop integration modules for interacting with new systems and applications
  • Opportunities for self-realization
  • Friendly team and enjoyable working environment
  • Corporate and social events

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