How to Become a Data Warehouse Developer

Key takeaways

To work as a data warehouse developer, you must be proficient in SQL, data modeling, ETL tools, and database optimization and management techniques.

• Most data warehouse developers earn a bachelor’s degree in computer science, information systems, or computer networks to enter the data analytics field. 

• Entry-level roles, such as a data analyst or junior database administrator, can help you build the minimum experience (two to six years) needed to qualify for the data warehouse developer role. 

• You can enhance your career prospects as a data warehouse developer by earning certifications such as Oracle Database SQL Certified Associate and Certified Business Intelligence Professional (CBIP).

Discover more about the role of a data warehouse developer and the skills, education, and experience necessary to become one. Afterward, if you’re ready to build essential job skills to succeed in this role, enroll in the Google Data Analytics Professional Certificate. You’ll have the opportunity to learn how to clean and organize data for analysis and visualize data findings.

What is a data warehouse developer?

A data warehouse developer is an information technology (IT) professional responsible for designing, building, and implementing data warehouse solutions for businesses and organizations that use data for business intelligence and decision-making. 

Data warehouse developers design storage solutions that allow businesses to analyze, retrieve, and report on the data they collect and store. Part of their job is maintaining data warehouses and ensuring they meet security and data protection requirements. 

What does a data warehouse developer do?

The role of a data warehouse developer is technical and involves designing and implementing the data warehouse architecture and structure; managing extract, transform, and load (ETL) processes; using data modeling techniques to support analysis; and ensuring effective data integration and performance. 

Your exact tasks and duties will vary depending on where and the data you work with. However, you can expect to have the following responsibilities or similar:

• Designing and developing warehouse systems according to business needs

• Integrating data from a range of sources using ETL processes

• Developing data models representing business processes and workflows

• Ensuring the security of the warehouse and all data within

• Partitioning, indexing, and testing functions to optimize performance

• Working closely with stakeholders and decision-makers to understand the needs of the business

• Writing and rewriting structured query language (SQL) queries for retrieving data 

• Monitoring, refining, and updating data warehouses to ensure maximum efficiency

What is the difference between a database and a data warehouse?

While data warehouses store extensive data from multiple sources for long-term storage, data analysis, and reporting, databases store data to support short-term data storage or data manipulation tasks. When used in tandem, you can perform historical data analysis while also having continuous access to operational data.

Key skills required for a data warehouse developer

To work as a data warehouse developer, you need strong technical abilities, including proficiency in SQL, data modeling, ETL tools, and database optimization and management. You also need various workplace skills, including analytical thinking, problem-solving, and communication. 

Proficiency in SQL

SQL is essential for working as a data warehouse developer for data manipulation and querying. You’ll need to write queries using SQL to optimize performance, retrieve data from the warehouse, and write reports for business decisions.

Familiarity with ETL tools

ETL is the process of extracting data from multiple sources, transforming it into something usable, and loading it into the data warehouse. As a data warehouse developer, you’ll use various ETL tools to achieve this, such as Qlik Talend, Informatica, and Azure Data Factory.

Understanding of data modeling techniques

Data warehouse developers must have excellent data modeling skills to create models that support scaling, optimize performance, and provide the necessary analytical capabilities. This involves understanding concepts such as normalization and dimensional modeling and implementing efficient database schemas, such as the star, snowflake, or starflake schemas, that allow businesses to adapt by extracting useful, meaningful data. 

Read more: Star Schema vs. Snowflake Schema: What’s the Difference?

Knowledge of data warehousing solutions

As businesses rely increasingly on cloud computing, knowledge of cloud warehousing solutions has become a key skill for data warehouse developers. Mastering cloud data warehousing solutions such as Amazon Redshift and Google BigQuery can save organizations money and increase efficiency. 

Workplace skills

Technical skills are important in this role, but you’ll also need to develop some key workplace skills necessary for working with stakeholders and your wider team, troubleshooting technical problems, and reporting complex data:

• Communication

• Leadership

• Collaboration

• Problem-solving

• Innovation

• Detail oriented 

Steps to becoming a data warehouse developer

Data warehouse developers have solid education, training, experience, and strong technical skills. To work in this role, follow the steps below, starting with a degree and gaining several years of technical experience. 

1. Obtain relevant education.

Data warehouse developers generally need a bachelor’s degree to enter the field. According to Zippia, 68 percent of data warehouse developers have a bachelor’s degree, with a further 25 percent continuing on to earn a master’s degree [1]. The major you choose is also important. Top degree programs include computer science, IT, computer networks, electrical engineering, and information systems.

2. Gain practical experience.

Experience is necessary before applying for a job in data warehousing. The amount of experience employers require depends on the company, the role's responsibilities, and the position's seniority. Still, most employers look for between two and six years of experience. 

To build your experience, consider completing an internship during your studies to gain industry experience and possibly shadow someone in the position. Once you’ve completed your studies, look for entry-level roles to build experience, such as a data analyst or junior database administrator. 

3. Develop technical skills.

You’ll develop your skills through your degree and entry-level roles, but it’s still very important to engage in professional development, learn new trends and technology, and stay current with best practices. 

Focus on essential job elements, such as SQL, ETL tools, and data modeling techniques, and boost your skills in statistics, data analytics, and business processes. Consider taking online courses, working on personal projects, and attending industry events to build your skills. 

4. Pursue certifications.

Technology moves and evolves fast, and keeping up with new trends, software, and processes is important. You can do this with a certification, which is also helpful for demonstrating your abilities in specific areas to employers. Examples of relevant certifications include:

• Oracle Database SQL Certified Associate

• Certified Business Intelligence Professional (CBIP)

• Certified Data Management Professional (CDMP)

• AWS Certified Advanced Networking - Specialty

• Cloudera Data Analyst Certification

Data warehouse developer salary and job outlook

According to Glassdoor, data warehouse developers earn an annual base salary of $106,000 [2], higher than the national average. The US Bureau of Labor Statistics (BLS) provides job outlook projections for both software developers and data scientists, with job growth expectations of 15 percent and 34 percent, respectively, by 2034 [3, 4].

Career advancement: Data warehouse developer jobs

Securing a data warehouse developer job requires years of education and experience. Once you have this on your resume and have worked as a data warehouse developer, you may find other opportunities in related roles. If you’re looking to advance further in your career or slightly change your career direction, you can consider the following options:

• Senior data warehouse engineer: $132,000

• Data architect: $141,000

• Data warehouse consultant: $113,000 

• ETL developer: $121,000

• SQL developer: $110,000

• Data engineer: $108,000

• Business intelligence analyst: $96,000

• Informatica developer: $121,000

Check out our free resources on data analytics

Join Career Chaton LinkedIn for weekly updates on popular skills, certifications, and career-building advice. Discover more about data management and analytics with our other free digital resources: 

• Learn the terminology: Data Analysis Terms & Definitions

• Take a quiz: Which Data Analysis Course Should You Take? Find Out in 1 Minute

• Hear from an expert: 6 Questions with a Microsoft Data Analytics Leader

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