Data Architect
London

Zilliant is currently searching for a Data Architect to join the team. We are looking for individuals who are enthusiastic about data and who strive to produce high quality results. The successful candidate should be knowledgeable about data modeling, data analysis techniques and data quality, and possess good interpersonal and communication skills.

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Responsibilities Include:

  • Working with Zilliant customers and Pricing Scientists to build a data model for use in Zilliant pricing and analytics solutions
  • Interfacing with the customer’s IT group to acquire and integrate the data
  • Partnering with the project team on code design for the project and to ensure that best practices are followed
  • Actively engaging in each assigned project to assist with the identification and implementation of business rules
  • Proactively ensuring the quality of the data being entered into the system and use Zilliant tools to build tests to ensure the quality throughout the process
  • Identifying opportunities for improvement and helping to drive those requirements through the system
  • Documenting the project data model and the assumptions and business rules
  • Working with Data Engineers to complete tasks where needed
  • Travelling to customer locations (10-15% travel)

Required Experience:

  • Bachelor’s degree. Prefer Computer Science or related, or comparable experience
  • Strong SQL Server development skills
  • Excellent understanding of designing for performance and performance tuning in a Microsoft environment. SQL 2012 technology stack preferred
  • Excellent troubleshooting skills – ability to find data quality and performance issues quickly and effectively
  • Excellent data analysis skills
  • Excellent understanding of data modeling techniques and tools
  • Ability and desire to learn new technologies in a fast-paced environment
  • Strong communication skills

Preferred Experience:

  • Experience with Tableau a plus
  • Experience with SFDC a plus
  • Experience with pricing applications a plus
  • Experience with Big Data storage and analytics technologies is desired
  • Experience of managing and working with offshore resources
  • German a plus