Data Engineer Manager

Data Engineer Manager Job Description Template

Our company is looking for a Data Engineer Manager to join our team.

Responsibilities:

  • Lead and develop a team of data experts with the right skills to enable the envisaged data driven organisation;
  • Implementation of the data strategy and agenda across the business, providing thought leadership and challenging the status quo;
  • Act as a servant leader, listen, influencing while bringing recognition to the group;
  • Seek opportunities to bring advanced analytical techniques and solutions to the data space;
  • Work closely with the Data Product team on proof of concepts, requirements breakdown, and roadmap planning;
  • Define and communicate high engineering standards and development practices, ensuring design and architecture consistency;
  • Promote collaboration and guide the execution of entire data engineering initiatives or components of larger projects from start to finish;
  • Drive data models design for fast performance data queries and ETLs;
  • Lead on ‘what’ and ‘how’ and strive to make the best out of the people that work with you;
  • Drive the team to architect and design solutions, ensuring clear documentation, and a high level of communication;
  • Formulate new and creative ways of building data relationships in a highly matrixed systems landscape;
  • Communicate concise information at all levels of the organization;
  • Apply the right data engineering practices when managing a significant amount of data in real-time and batch;
  • Drive technology excellence, people growth and roadmap delivery.

Requirements:

  • Connected systems, IoT sensing, Hyper scale compute, Tensor Flow Module, GPU Computing and Massive Batch Loads;
  • Azure Cloud, AWS and GCP Experience including and not limited to MPP systems, Database systems, ETL and ELT systems and Data Flow compute;
  • Proven experience in Performance Optimization of complex systems and producing cost optimized solution deliveries;
  • Experienced in delivering Medium to Big Enterprise Data Projects working on Deep tech and VLDB systems;
  • Experience in NoSQL databases (Cosmos DB, MongoDB) and Hadoop experience.