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Enterprise Data Architect in Richmond, VA at Vaco

Date Posted: 4/4/2018

Job Snapshot

Job Description

Let Vaco advocate on your behalf! We are seeking a highly motivated and self-directed Enterprise Data Architect to join a team that supports an enterprise data warehouse. Apply with Vaco, and we will be your personal representative! We will promote your strengths and help prepare you for your interview by supplying you with key information about our client. Get the advantage over your competition through our direct access to HR departments and hiring managers.

At no cost to you, working with Vaco recruiters gives you insider access.Through our relationships with each company, you will be prepared thoroughly for each interview. Our recruiters will be able to provide great insight about trends in the market - keeping you updated on compensation expectations, company culture, and growth opportunities.

***NO THIRD PARTIES - U.S. Citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time***

The Enterprise Data Architect will have proven hands-on experience leading the architecture, design, and development of highly available big data platforms and solutions. Additionally, a leader who can drive conversation and design of an Enterprise Data Warehouse and modernization of existing data repositories. The ideal candidate will have strong experience and detailed knowledge of designing and integrating analytical platforms to enable advanced research and modeling. The role requires a good understanding of infrastructure and how users need access to data.

Additional Skills & Qualifications

  • Experience designing and building a data warehouse from the ground up
  • Experience with Data Modeling tools such as ER Studio, PowerDesigner, Sparx Enterprise Architect, etc.
  • Hands on experience in applying future state data architecture/design concepts such as Data Lake and Big Data.
  • AWS or Azure Cloud Enterprise Data Warehousing
  • Experience with AI and Machine Learning
  • Experience with REST API structures to interface with data sources
  • Prefer experience with Hortonworks Hadoop distribution components and custom packages.
  • Total Hadoop - 3+ yrs