The Davis Companies

Solutions Architect (Data Cataloguing/AI)

The Davis Companies United States

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Rob Strachan

Rob Strachan

Technical Recruiter | Connecting Top Tech Talent with Cutting-Edge Opportunities

Are you passionate about harnessing the power of cutting-edge data cataloguing and AI technologies to transform businesses? Do you thrive on designing innovative solutions that drive efficiency and unlock new opportunities? If so, we invite you to join our dynamic team as a Solutions Architect. In this pivotal role, you will leverage your expertise to create and implement robust architectures that seamlessly integrate advanced data cataloguing and AI capabilities, empowering organizations to make data-driven decisions with unprecedented accuracy and speed. Join our cutting-edge client in revolutionizing the future of data management and artificial intelligence.



  • Travel within US approximately 20%
  • Familiarity with RDF, SPARQL and other semantic web technologies
  • Partner with customer’s business and technical teams to understand requirements and devise strategies and broaden their programs' scopes
  • Own the consulting and technical deliverables throughout the customer lifecycle, assuring successful integration and platform functionality and fostering growth
  • Assist in developing practical solutions, coding scripts, and performing data manipulation tasks as needed.
  • Contribute to the creation of technical documentation and support materials for customer guidance.
  • Excellent communication skills to articulate business and technical concepts and platform capabilities clearly to individuals across the technical spectrum, with the confidence to discuss project plans with enterprise executives.
  • Work closely with department leader to scope, write, and present SOWs as needed

Pluses

  • Prior experience in the data catalog, data governance, data analytics, data science and/or data engineering roles.
  • Understanding of how enterprise data solutions are managed and secured at scale
  • Understanding of large-scale enterprise architecture, and tech stacks

  • Employment type

    Full-time
  • Job function

    Information Technology
  • Industries

    IT System Data Services

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