Director Data Solutions (Data Science, Analytics, BI)
Inseriert am: 25.03.2019
Named as one of Fortune’s List of 100 Fastest Growing Companies for 2019, EPAM is committed to providing our global team of 36,700+ 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 Organizations 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
