What to expect in a job for a Data Engineer Manager

If you are interviewing for a senior role such as manager or above for the Data Engineering domain, the challenges increase as interview rounds continue along with the difficulty level. 

On top of it, people prepare for the interview and the actual on-the-job separately. We all know that we do different work than those asked in interviews. 

What should you study? 

For Managerial roles, you need to have skills like people understanding, technical expertise and an eye for stakeholder management. These soft skills are cultivated slowly through experience and leadership courses.

As you join a new organization, the initial month would be spent understanding the work culture of an organization as well as the project. For example, if you are joining Publicis Sapient as Senior Manager for Big Data, reading Publicis Sapient employee reviews of fellow Data Engineers should be on your list. 

For managerial positions, technical knowledge along with a high-level overview is important to thrive in an organization and accelerate your impact. You would spend time in team management, requirement gathering, stakeholder management, data pipeline creation and finally presenting business insights to the clients. What’s more important, you may have to complete these tasks in a firm timeline. But initially, you may require time to understand the workflow, people dynamics and existing process in the team.

Hence, as a Data Engineer Manager, you will be expected to have good leadership skills, people management, and presentation skills along with technical expertise. Balancing the expertise with a new process may take some time as everyone in the team is learning about your work style. Hence, be patient and give your 100%.

You can also read some thought leadership articles and Publicis Sapient company reviews of leaders on employee review sites and official PS website blogs.