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Dec 22, 2021

Description:

Zilliant is currently searching for a Data Architect to join the Services team. We are looking for individuals with a services/consulting background, preferably implementing SAAS solutions, who are enthusiastic about data and strive to produce high quality results. The successful candidate should be knowledgeable about data modeling, data analysis techniques, data quality, and possess good interpersonal & communication skills.


Responsibilities Include:

  • Working with Zilliant customers and Pricing Scientists to build a data pipeline for use in Zilliant platform and analytics solutions
  • Requirement gathering for both a traditional data model and integration
  • Managing the interdependencies and sequencing of implementing multiple products with conflicting priorities
  • Interfacing with the customer’s IT group to acquire and integrate the data in both directions
  • 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, assumptions and the business rules
  • Working with Data Engineers to complete tasks where needed
  • Traveling to customer locations (10-15% travel)


Required Experience:

  • Bachelor’s degree. Prefer Computer Science, Management Information Systems or related, or comparable experience

  • Six to 15 years of relevant consulting or services experience, preferably with enterprise SaaS Implementation projects (e.g. CPQ, CRM, SAP, Informatica, PROS, Vendavo, Salesforce CPQ, Apttus, etc.)
  • Excellent understanding of data modeling techniques and tools
  • Experience utilizing ETL / data management tools to build inbound and outbound data pipelines (e.g. BOOMI, Mulesoft, Matillion, etc.)
  • Strong SQL Server or similar RDBMS development skills with Big Data Technologies exposure
  • Design and configuration of automated, programmatic system integration / data exchange tools and techniques (APIs, Webservices)
  • Excellent understanding of designing for performance and performance tuning
  • Excellent troubleshooting skills – quickly and effectively find quality and performance issues
  • Ability and desire to learn new technologies in a fast-paced environment
  • Strong communication skills

 

Preferred Experience:

  • Designing high performance Analytics with Tableau or similar visualization tool
  • AWS data management stack in a multi-tenant environment including RedShift, Aurora, Spark, S3, etc.
  • Experience with pricing & quoting applications a plus
  • Experience with Big Data storage and analytics technologies is desired
  • Experience of managing and working with offshore resources

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