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Big Data Engineer/Architect

Fenton, Missouri | IT
Job ID: 91780
Listed on 7/9/2019

KellyMitchell matches the best IT and business talent with premier organizations nationwide. Our clients, ranging from Fortune 500 corporations to rapidly growing high-tech companies, are exceptionally served by our 1500+ IT and business consultants. Our industry is growing rapidly, and now is a great time to launch your career with the KellyMitchell team.


Title: Big Data Engineer/Architect


Job Description & Responsibilities

This role will be responsible for the full-life cycle of a cloud data solution, including analysis, assistance in platform and tool selection, design of the technical architecture & application, testing and deployment.  This architect will design and determine data availability by interviewing users; defining, analyzing, and validating data objects; identifying the relationship among data objects.

  • Perform platform and tool analysis that will result in recommendations for design and delivery of various components and reports
  • Understand data model and data relationships
  • Support the development of new analytical and data products and services, and the enhancement of current processes and offerings as well as testing, monitoring and governing of the solution.
  • Facilitate knowledge transfer of the developed data model to internal development teams responsible for feeding the data model
  • Work with report development resources to recommend most optimal method of report development
  • Communicate with and deliver presentations to appropriate resources, technology and product team members on analysis results.


Skills, Experiences, Knowledge

  • Expert in data architecture and database design patterns
  • Knowledge of cloud solutions and various big data services and tooling
  • Expert analytical skills to evaluate understand and interpret data from both an internal and client perspective
  • Understand Business Requirements and perform Data as well as Functional Analysis and provide solutions
  • Hands-on experience in developing, implementing, and maintaining complex data models for operational and analytical applications, both logical and physical data models
  • Ability to build both tabular & dimensional models
  • Experience in Data Warehousing with a focus in ETL, EL, ELT, BI Stack and benefits/detriments of each
  • Broad understanding of database technologies (SQL, document, graph data stores)
  • Ability to apply data store optimization and performance improvements
  • Familiar with information security standards, ability to apply security standards and set security boundaries and limits.
  • Demonstrated ability to communicate ideas and analysis results effectively both verbally and in writing to both a technical and non-technical audience.
  • Excellent communication, organization, interpersonal and presentation skills.
  • Be self-sufficient and work well with others.