Lead Data Engineer

5 days ago


St Louis, Missouri, United States Pinnacle Group Full time
Job Title: Lead Data Engineer

We are seeking a highly skilled Lead Data Engineer to join our Cloud Data Engineering/Revenue Management team. As a key member of our team, you will be responsible for designing and implementing technical solutions that provide daily insights to our Revenue Managers.

Key Responsibilities:
  • Provide technical leadership and direction for a team of engineers delivering new Data APIs, Structures, and Solutions.
  • Collaborate with Data & Analytics, Data Science, Product, and IT Solution teams to build Certified Data Assets and other key Data Strategy components.
  • Stay informed of emerging capabilities, technologies, and their potential impact on our solutions, standards, and best practices.
  • Define technical roadmaps and strategies to maintain alignment across IT and our business customers.
  • Ensure our solutions are designed with operational excellence in mind, with capabilities to scale with the gravity of the data being processed.
Requirements:
  • 8+ years of related experience and providing technical guidance for a solution.
  • Experience leading other technical leaders.
  • Experience working with Kong and the API office building new solutions.
  • Experience administering Cloud Data Resources (including, but not limited to: Azure Data Factory, DevOps, EventHub, Function Apps, and other Azure technologies).
  • Experience with cloud data management tools (including, but not limited to: Databricks).
  • Experience with Python, SQL, and Scala.
  • Experience building Data APIs.
Preferred Qualifications:
  • Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field.
  • Master's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field.

We offer a competitive salary range of $165,000 - $175,000, depending on the scope, complexity, and location of the role, as well as the skills, education, training, credentials, and experience of the candidate.



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