Data warehouse architects are responsible for creating, managing, and executing data warehouse strategies, including selecting tools and setting project scopes and requirements to fulfill data needs. They may also be in charge of implementing a variety of strategies and solutions within teams to brainstorm and map this data before building data warehouses.
These employees must be highly proficient with data solutions, mapping software, and database warehouse applications, and generally use a personal computer to modify schemes, create large databases, and write detailed reports based on their progress. They must work well with other data warehouse employees to find the most efficient and innovative solutions; however, they must also work and multitask effectively on their own; they must always follow strict privacy and security guidelines to protect data from intruders, as well. After a data warehouse has been implemented, they participate in further testing and quality assurance efforts to verify integrity, and may also be tasked with facilitating the fine-tuning efforts and finding so-called "data bottlenecks" to improve productivity.
Data warehouse architects must verify security requirements with developers to create working concepts and build on them, and other main responsibilities include choosing proper framework designs, managing the deployment of quality data services, and prioritizing relevant tasks to complete them within given time-frames. A bachelor's degree in a relevant computer engineering field is generally required for this position, and prior work experience with data information systems is highly beneficial. Data solutions certifications are also helpful.
Data Warehouse Architect Tasks
Guide and deliver technical design, implementation, and quality assurance for data warehouse projects.
Understand business intelligence needs and reporting requirements to ensure system compatibility.
Design and code ETL and data warehouse software, including correcting bugs or defects.
Architect, integrate, and migrate data from multiple sources, including logical, physical, and dimensional models.