Director, Data Solutions (Analytics, Data Science) 870 views

They are looking to strengthen their Data Practice and require a Director, Data Solutions (Analytics, Data Science) to join their London team. In this high visibility role, you will report to the Global Head of Big Data, working closely with another internal tech/business leaders and external clients whilst driving the data strategy and enhancing the wider Data footprint.

You are curious, persistent, logical and enjoy developing elegant solutions for complex problems. If this sounds like you, keep reading to learn more about this exciting role!

Come and join EPAM where Engineering is in their DNA.

Responsibilities

• Drive the UK and potentially European Big Data Projects by providing 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
• Get involved in engaging new clients to further drive EPAM business in the Big Data space

Requirements

• Solid experience in a Technical Leadership role
• Experience of driving large scale Big Data Architecture projects in high paced environments
• 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
• Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
• Able to work on a large scale and complex projects for customers in a variety of industries UK/European wide

What We Offer

They offer a range of discretionary benefits from time to time, including:

• • Group personal pension plan, life assurance, and income protection
  • Private medical insurance, private dental care, and critical illness cover
  • Cycle scheme and season ticket loan
  • Employee assistance program
  • Gym discount, Friday lunch, on-site massage, and social events
  • 1 day off for your wedding and baby basket
  • Tech purchase scheme
  • Unlimited access to LinkedIn learning solutions
• Some of these benefits may be available only after you have passed your probationary period