There are many job titles that are related to data.
We have seen an upsurge in the demands of data scientists in recent years. With organizations realizing the benefits of data to make informed decisions, more and more people are hiring data scientists and data engineers.
Data engineers are in demand as they help organizations manage, analyze, and store data at scale. The importance of data-related jobs is higher than ever before as data generation is at its peak these days.
Also, by 2025, IDC predicts that the total amount of digital data created worldwide will rise to 175 zettabytes, following the growing number of devices and sensors.
Now, where this will lead us?
More data means more people are required to manage it, collect it, and analyze it. We have tools and technologies like machine learning, AI, and cloud, to visualize and manage data but, we require people to carry out these processes and ensure data is in a usable state.
Data engineering is a very broad field and applies in almost every industry. The data engineering field has a variety of roles that include data engineer, data engineer manager, data science software engineer, big data analysts, data warehouse engineer, technical architect, and so on.
Among these, big brands are actively hiring data engineer managers. This post talks about the responsibilities of a data engineer manager, skills, and what a data engineer manager is.
The data engineer manager is responsible for handling a team of data engineers and closely working with product managers, data scientists, business intelligence teams, and SDEs to design and launch data-driven strategies across the organization.
A data engineer manager is a professional with significant years of experience in data-related roles, responsible for designing overall data architecture that drives insights.
Being a data engineering manager, you will require redefining data vision right from data collection, storage, processing, data management, analysis, and security management.
We have seen the role of a data engineer in one of our blog posts. Here, we will see what companies are looking for in data engineer manager and what kind of role data engineer manager plays in organizations that leverage data for future growth.
Here are some of the key responsibilities of a data engineer manager.
This role includes many diversified responsibilities and it may vary depending upon your experience, expertise, and organizational needs.
Data engineer managers are expected to have a broad range of skills that make them one of the in-demand professionals in the team.
Here are some skills that are required to become a data engineering manager.
Apart from all these, being a data engineer manager you need to oversee every process, drive decisions, and incorporate business strategies with technologies to achieve desired goals.
It is a very challenging role and requires having a wide range of skills and significant years of experience working with data.
We are surrounded by data. Today’s businesses have realized the importance of data to make decisions that drive future growth. More and more organizations are hiring data professionals to improve customer experience, mitigate risks, and plan what’s next utilizing data.
As a result, data-related job roles are high in demand. Data engineer manager is one such role that not only promises a rewarding career but is considered one of the best-paying jobs in the data world.
So, how much does a data engineer manager make?
The average salary for a Data Engineer Manager in the US is $159,009 according to builtin.com.
As per Glassdoor, the average salary for a Data Engineering Manager is $172,090 per year in the United States.
The average data engineer manager’s salary in the United Kingdom is£60,000 per year.
In India, the national average salary for a data engineer manager is ₹30,97,069 according to Glassdoor.
The demand for data engineer managers is growing. With the massive amount of data generation, there will be huge demands for the data professionals that handle it and extract insights from it.
Big brands like Apple, Meta, Google, and Accenture are hiring data engineer managers to implement data solutions that are aligned with their business objectives. The data engineer manager plays a vital role in defining and building a solid data foundation.
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