VP, Data Engineering

VP, Data Engineering Job Description Template

Our company is looking for a VP, Data Engineering to join our team.

Responsibilities:

  • Develop and maintain a technical metadata framework and repository of data events and ETL operations;
  • Design, model and develop data sets to support reporting and analytics in a cloud environment;
  • Automate BI reporting functions;
  • ETL development: handle all aspects of programming assignments and assist with systems design;
  • Lead and administer analytics tools and tag management systems;
  • Advise in the usage, interpretation, and automation of data to various business partners;
  • Recruit, retain and focus strong data engineers (onshore and offshore).

Requirements:

  • Knowledge with tools that enable data querying at scale;
  • Understanding of scalable systems and you have large-scale engineering experience;
  • 8+ Years as a Data engineer using (Python, Scala);
  • Experience with AWS/Cloud services;
  • Expert understanding of data structures, algorithms, and effective software design;
  • Excellent written and verbal communication skills;
  • 5+ Years using SQL/T-SQL;
  • Experience working with structured and unstructured data and data warehouses;
  • Strong executive leadership experience leading teams of data engineers;
  • Shown success driving teams and delivering results quickly in a startup environment;
  • Data visualization tools such as Looker, Tableau;
  • Hadoop, MapReduce, or other data platforms;
  • Software data engineering with languages such as Java, Python, scripting;
  • Working knowledge of digital media and/or consumer web services ecosystem, advertising experience is helpful;
  • Real-time big data analytics and ETL development.