Azure Data Engineer Roles and Responsibilities in 2025

Microsoft Azure stands as a premier platform in today’s marketscape, leading to a surge in Azure adoption. At the same time, it has opened up a wealth of opportunities for data engineers. With businesses harnessing the power of Azure’s services, the need for skilled data engineers has topped the charts.

Speaking from experience, the data engineers in this role are right in the thick of it all. From start to finish, Azure data engineer roles and responsibilities revolve around designing, implementing, and managing data solutions specifically tailored for the Azure platform.

For the ones setting out on this career journey, the first tip I will give you is to be prepared for the comprehensive learning path you are about to tread. It will encompass various technical skills and certifications tailored to the demands of the role.

If you want to proceed on this journey, you can also take up a Azure Data Engineer Certification course to become certified. 

Who is Azure Data Engineer? 

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering.

As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics. With the experience and fundamental knowledge that I gained from Cloud Bootcamps, I became proficient in using Azure's suite of tools and services.

If you are pursuing a career in this field, you will need to do the same to be able to build robust and scalable data solutions.

Azure Data Engineer Roles and Responsibilities [Based on Level of Experience] 

Entry-Level  

At the entry level of this role, you will have to collaborate with data engineering teams to design, implement, and maintain data solutions on the Azure cloud platform. This is deemed as the learner’s phase because the more you learn with hands-on experience, the better your chances will get for higher-level roles.

Here, I have listed the entry-level roles and responsibilities of Azure Data Engineer. The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field:

• Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions. This includes setting up data pipelines, configuring data connectors, and ensuring data integrity during the ingestion process.
• Data processing: In this role, you'll support the development of data processing pipelines using Azure Data Factory or Azure Databricks. Your responsibilities may include transforming, cleaning, and aggregating data according to the requirements provided by senior team members.
• Database management: This role entails assisting in the management and maintenance of databases hosted on Azure. This could involve basic database administration tasks such as provisioning resources, monitoring performance, and troubleshooting issues in databases like Azure SQL Database or Azure Cosmos DB.
• Data visualization: Here, you'll collaborate with team members to create basic reports and dashboards using visualization tools like Power BI. Your role will be to visualize insights derived from Azure data services, making them understandable and actionable for stakeholders.
• Documentation: In this role, you'll be responsible for documenting processes, configurations, and solutions implemented during projects. This documentation ensures knowledge transfer within the team and serves as a reference for troubleshooting and future projects.
• Learning and development: This role involves actively participating in training programs, certifications, and workshops to enhance technical skills and deepen understanding of Azure data services and data engineering best practices. It's crucial for continuous growth and staying updated in the rapidly evolving field of data engineering.

Mid-Level 

With more years of experience as an entry-level Azure data engineer, you have better chances of moving to mid-level roles. The roles I have listed below involve more advanced responsibilities and may require deeper technical expertise and leadership skills compared to entry-level positions:

• Data engineering lead: As a mid-level Azure data engineer, you may take on the role of a lead, overseeing and coordinating the work of junior team members, ensuring project goals are met efficiently and effectively.
• Solution architect: In this role, you collaborate with stakeholders to design and architect scalable and efficient data solutions on the Azure platform, considering factors like performance, security, and cost optimization.
• Data pipeline developer: As a mid-level data engineer, you focus on developing and optimizing data pipelines using Azure Data Factory or Azure Databricks. You work closely with the team to ensure data flows smoothly and efficiently through the pipeline.
• Data analyst: In this role, you analyze data using Azure services like Azure Synapse Analytics or Azure Machine Learning to derive insights and inform decision-making. You create reports and visualizations to communicate findings to stakeholders.
• Data governance specialist: As a mid-level Azure data engineer, you ensure that data within the organization is managed, stored, and used in compliance with regulatory requirements and internal policies. This includes implementing data governance frameworks and overseeing data access controls.
• Cloud migration specialist: With experience in Azure, you may specialize in migrating on-premises data and applications to the Azure cloud, ensuring a smooth transition and optimizing performance and cost-efficiency.

Senior-Level 

As a senior Azure Data Engineer, I have fine-tuned my expertise through years of experience with this software. If you are aspiring to attain these leadership Azure data engineer roles and responsibilities in your career journey, you will be instrumental in shaping data projects and using Azure's advanced tools for innovation.

You will be at the forefront of innovation, driving the correct use of Azure's data services to propel your company toward success. Here, I have broken down some key senior-level Azure data engineer job responsibilities:

• Principal data engineer: Leading the charge in defining technical vision and strategy, you architect and implement complex data solutions on Azure, guiding teams to success.
• Cloud data architect: As an architectural guru, you design scalable and secure data platforms on Azure, setting standards and best practices for data architecture across the organization.
• Data science manager: Transitioning into management, you lead a team of data scientists and engineers, overseeing the development and deployment of advanced analytics solutions on Azure.
• Big data specialist: With expertise in handling massive data volumes, you specialize in optimizing data processing frameworks on Azure's big data services.
• Data governance lead: Establishing and enforcing data governance policies, you ensure data quality and compliance across Azure environments, driving organizational excellence.
• Azure solutions architect: In this broader role, you collaborate with clients to design end-to-end solutions on Azure, leveraging your deep understanding of the platform to meet diverse business needs.

What Makes a Good Azure Data Engineer? 

Excelling as an expert Azure Data Engineer requires a blend of technical prowess, problem-solving skills, effective communication, and a continuous thirst for learning and improvement.

Having worked in this field for a considerable number of years, I can attest that mastering both hard and soft skills is one of the most crucial Azure Data Engineer responsibilities. Here, I have listed some of the skills you will need to become an expert Azure data engineer:

Hard Skills:

• Technical expertise: I have excellent knowledge of Azure's data tools, like Azure Data Factory and Azure Databricks.
• Data handling: Understand how to structure and manipulate data efficiently.
• Programming: Be proficient in languages like Python and SQL for data manipulation.
• ETL and data processing: Build and optimize data pipelines effectively.
• Data visualization: Turn data into clear insights using tools like Power BI.
• Database management: Manage databases effectively, especially on Azure.

Soft Skills:

• Problem-solving: Solve complex data problems effectively.
• Communication: Communicate clearly with both technical and non-technical team members.
• Attention to detail: Pay close attention to detail to ensure accuracy.
• Adaptability and learning: Stay up to date with new technologies and trends.
• Teamwork: Collaborate well with others for project success.
• Leadership and mentorship: Take on leadership roles and mentor junior team members for growth.

Azure Data Engineer Job Requirements 

Here’s a comprehensive list of what I needed to nail an Azure Data Engineer job role:

Education:

A bachelor's degree in computer science, Information Technology, or a related field is typically required. A master’s degree may be preferred for senior-level positions.

Certification:

Azure certifications, especially Azure Data Engineer Associate or similar, are often required or preferred. These certifications demonstrate proficiency in Azure services relevant to data engineering.

Experience:

• Experience with Azure data services (Azure Databricks, Azure Data Factory, etc.)
• Proven track record in designing, implementing, and managing data solutions, preferably on Azure.
• Experience in building and optimizing data pipelines for ETL (Extract, Transform, Load) processes.

Conclusion 

Microsoft Azure's cutting-edge technologies not only help in crafting data strategies but also in implementing robust solutions. As someone with hands-on experience in this field, I've witnessed firsthand its vital role in propelling businesses forward.

Azure Data Engineers are the driving force behind innovation, ensuring organizations make the most of their data assets. And if you are eager to dive head-first into this career path, investing in your skills is key.

This is where Knowledgehut's Azure data engineer certification comes to play the part! This program, tailored for smart learners, equips you with practical expertise and industry insights to excel in Azure Data Engineer roles. You can consider taking up this certification to not only sharpen your technical abilities but also boost your confidence to tackle any challenge.