Azure Data Factory Specialist Job Description [Updated for 2025]

In today’s data-driven world, the focus on Azure Data Factory Specialists is ever-increasing.

As technology progresses, the need for skilled individuals who can develop, manage, and secure our data infrastructure becomes more pressing.

But what exactly is expected from an Azure Data Factory Specialist?

Whether you are:

• A job seeker wanting to understand the core responsibilities of this role,
• A hiring manager creating the profile of an ideal candidate,
• Or simply interested in the dynamics of Azure Data Factory management,

You’ve come to the right place.

Today, we present a comprehensive Azure Data Factory Specialist job description template, tailored for effortless posting on job boards or career sites.

Let’s delve right into it.

Azure Data Factory Specialist Duties and Responsibilities

Azure Data Factory Specialists are experts in Microsoft’s cloud-based data integration service, Azure Data Factory.

They use their knowledge and skills to create, schedule, manage, and monitor data pipelines.

Their tasks involve moving and transforming data and running diverse data workloads efficiently.

The duties and responsibilities of Azure Data Factory Specialists include:

• Designing, building, and managing data pipelines using Azure Data Factory
• Transforming raw data into useful data sets by using data flows in Azure Data Factory
• Collaborating with data scientists and analysts to understand and meet their data requirements
• Monitoring data pipelines and resolving any issues that arise
• Performing data quality checks and validating the accuracy of data transformations
• Maintaining the security and compliance of data processes according to relevant regulations
• Optimizing data pipelines for performance and cost efficiency
• Staying up-to-date with the latest Azure Data Factory updates and features
• Documenting the design and operation of data pipelines for future reference and troubleshooting
• Training other team members on the use of Azure Data Factory

 

Azure Data Factory Specialist Job Description Template

Job Brief

We are seeking an experienced Azure Data Factory Specialist to join our team.

The ideal candidate will be responsible for building, managing, and optimizing data pipelines and then moving these data pipelines effectively into business processes and applications.

The Azure Data Factory Specialist should have extensive hands-on experience working with Azure Data Factory (ADF) and a strong understanding of data warehousing concepts.

 

Responsibilities

• Designing, building, and maintaining data processing systems with Azure Data Factory.
• Creating and maintaining data pipeline architecture.
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure technologies.
• Working with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Creating data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Working with data and analytics experts to strive for greater functionality in our data systems.

 

Qualifications

• Experience with Azure Data Factory, Azure Data Lakes, Azure SQL DWH, and Azure SQL.
• Experience building and optimizing data pipelines, architectures, and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Azure Data Factory Specialist
• Work Environment: This role is primarily office-based with the option for remote work. Some travel may be required for meetings or consultations.
• Reporting Structure: This position reports to the Head of Data Engineering.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $120,000 minimum to $180,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does an Azure Data Factory Specialist Do?

An Azure Data Factory Specialist primarily works within the cloud computing domain, specifically with Microsoft’s Azure platform.

They are responsible for creating, managing and orchestrating data workflows and pipelines using Azure Data Factory.

Their role includes developing, testing, and maintaining data solutions, including designing and implementing Extract, Transform, Load (ETL) processes.

They are responsible for transforming large volumes of data from various sources into meaningful business information.

Azure Data Factory Specialists collaborate with data scientists and other stakeholders to ensure data availability, reliability, and accessibility.

They also work closely with IT teams, data architects, and data analysts to design and implement data models and database structures.

Moreover, they monitor, manage and troubleshoot data pipelines, ensuring the timely and accurate delivery of data.

They are also responsible for data cleaning, validation, and the application of appropriate data masking techniques to ensure data privacy and compliance with data regulations.

Azure Data Factory Specialists often play a key role in implementing and maintaining cloud-based data strategy, ensuring the data infrastructure is scalable, reliable, and secure.

They continuously update their knowledge and skills to stay abreast of the latest Azure Data Factory features, capabilities, and best practices.

In addition, they may also provide training and guidance to other team members on how to use Azure Data Factory effectively.

 

Azure Data Factory Specialist Qualifications and Skills

An Azure Data Factory Specialist should possess the qualifications and skills that are relevant to the role, such as:

• Thorough understanding of Azure Data Factory (ADF), Azure Data Lake, and Azure SQL Data Warehouse for creating and maintaining reliable and scalable data processing systems.
• Ability to design, develop, implement, and monitor data pipelines in Azure Data Factory for data extraction, transformation, and loading (ETL).
• Strong knowledge of SQL, Python, and other scripting languages for creating complex data transformation tasks.
• Experience in data modeling and data architecture strategies, along with understanding of data warehousing concepts.
• Effective problem-solving skills to identify, troubleshoot, and resolve issues that may occur during the data processing stages.
• Excellent communication skills to coordinate with different teams, comprehend requirements, and explain technical details in a clear and concise manner.
• Attention to detail and organization skills to manage multiple projects, meet deadlines, and ensure the accuracy and quality of data pipelines.
• Familiarity with Azure security and privacy protocols to ensure that data processing adheres to compliance standards.
• Ability to use Azure monitoring tools to track the performance of data pipelines and make adjustments as necessary.

 

Azure Data Factory Specialist Experience Requirements

Candidates aspiring to become an Azure Data Factory Specialist ideally should have a minimum of 2-3 years of experience with Azure data services and big data.

This experience often comes from roles such as Data Engineer, Data Analyst, or similar IT-related roles.

They should have a robust understanding of Azure Data Factory (ADF), SQL, Python or .NET framework, and ETL (Extract, Transform, Load) process.

Candidates with more than 3-5 years of experience are often expected to have worked extensively on Azure Data Factory, possessing a deep understanding of data migration and integration services.

They should have hands-on experience in developing and delivering Azure Data Factory pipelines, data cleansing, and data wrangling.

Those with more than 5 years of experience in the field, preferably have held managerial or lead roles in their previous jobs.

They are expected to have strong experience in data architecture and strategy, including data modeling, data quality, data governance, and data security.

Experience with other Azure services like Azure SQL Database, Azure Synapse Analytics, or Azure Databricks is also a bonus.

In addition, certifications like the Microsoft Certified: Azure Data Engineer Associate can be beneficial in showcasing their credibility in the field.

 

Azure Data Factory Specialist Education and Training Requirements

Azure Data Factory Specialists typically have a bachelor’s degree in computer science, information systems, data science or a related field.

They also need a strong background in cloud-based data services, data warehousing, ETL (Extract, Transform, Load) processes, and familiarity with languages such as SQL, Python, and others.

Specialists in this field should also have a deep understanding of Azure Data Factory (ADF), Azure Data Lake, Azure SQL DW, and other Azure technologies.

Some roles may require Azure Data Factory Specialists to have a master’s degree in a specific IT or data science discipline, or extensive work experience in a similar role.

Most employers prefer candidates with Microsoft Azure Certification, specifically Azure Data Engineer Associate or Azure Architect Expert certification.

Additionally, having a master’s degree and/or certification in Azure technologies not only validates the candidate’s technical skills but also reflects their commitment to staying current in the rapidly evolving cloud technology domain.

On-the-job training is also essential as Azure Data Factory Specialists must stay up-to-date with the latest updates and features in Azure services.

Therefore, continuous learning and skill development are crucial aspects of this role.

 

Azure Data Factory Specialist Salary Expectations

An Azure Data Factory Specialist can expect to earn an average salary of $123,678 (USD) per year.

The actual earnings may fluctuate based on factors like years of experience in Azure Data Factory, relevant certifications, geographical location, and the company they work for.

 

Azure Data Factory Specialist Job Description FAQs

What skills does an Azure Data Factory Specialist need?

An Azure Data Factory Specialist should have a strong understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and data modeling.

Proficiency in Azure Data Factory, Azure SQL Data Warehouse, and other Azure services is crucial.

They should also have strong programming skills, particularly in SQL, and be able to handle complex data integration scenarios.

 

Do Azure Data Factory Specialists need a degree?

An Azure Data Factory Specialist doesn’t necessarily need a degree, but a bachelor’s degree in Computer Science, Information Systems, or a related field is often preferred.

Most importantly, they must have a strong understanding of Azure data services and a proven track record in data warehousing and ETL processes.

Certifications in Azure technologies can also be an advantage.

 

What should you look for in an Azure Data Factory Specialist resume?

When reviewing a resume for an Azure Data Factory Specialist, look for evidence of experience with Azure Data Factory, Azure SQL Data Warehouse, and other Azure services.

Experience in data modeling, ETL development, and handling complex data integration scenarios is a must.

Certifications in Azure can also be a bonus.

 

What qualities make a good Azure Data Factory Specialist?

A good Azure Data Factory Specialist is a problem solver who can handle complex data integration scenarios.

They should be detail-oriented and have a strong understanding of data warehousing concepts.

Good communication skills are also important, as they’ll need to work closely with data analysts and other team members.

They should be continuously learning and updating their skills to keep up with new advancements in Azure services.

 

Is it difficult to hire an Azure Data Factory Specialist?

Given the specialized nature of this role and the specific skill set required, finding an Azure Data Factory Specialist can be challenging.

It’s essential to offer competitive compensation, opportunities for professional development, and a positive work environment to attract top candidates.

 

Conclusion

And there we have it.

Today, we’ve opened the doors on what it really means to be an Azure Data Factory Specialist.

Can you guess?

It’s not just about managing data.

It’s about sculpting the future of cloud technology, one data pipeline at a time.

With our comprehensive Azure Data Factory Specialist job description template and real-world examples, you’re ready to make your move.

But why halt your journey there?

Plunge into the details with our job description generator. It’s your ultimate tool for creating laser-precise job listings or refining your resume to perfection.

Always remember:

Every bit of data is a piece of the grand puzzle.

Let’s construct that future. Together.

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