What are the responsibilities and job description for the Lead Data Architect position at Cirrus Group Consulting?
Design, develop and manage Cloud based (AZURE) in-house data warehouse, reporting and dashboard platforms, integrations, and interfaces between D365, legacy data and 3rd party vendor software systems. Analyze, design, program test, document and implement data management and reporting solutions using industry best practice, new and / or existing data visualization tools, application of systems analysis and computer technology skills, working in a senior individual contributor role.
End-to-end development of in-house ETL, data warehouse, reporting, and dashboard platforms, with a focus on research, implementation, and adherence to industry best practices. Under the guidance of the Vice President of IT Applications and Applications Manager, lead the creation and documentation of design specifications for databases and programs, aligning with established standards. Ensure the seamless operation of existing applications, providing ongoing support, troubleshooting, and implementing enhancements as needed. Overall, contribute to the innovation and sustained efficiency of our data solutions.
Responsibilities :
- 65% review, analyze, and modify or create data warehouse technologies, computer applications, including design, coding, testing, debugging and documenting programs.
- 35% perform problem analysis and in-depth studies or proposals in response to business requirements and issues. Performs other data, data warehouse, and technology related duties as assigned by management.
Requirements :
Bachelor's degree in computer science or equivalent job experience in the field.
The Power BI architect / developer should be familiar with data science, business intelligence, and data analytics. He / she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts.
Organize, construct, and maintain a data warehouse platform as the single source of the truth and associated ETL processes for Data focusing on the prominent functions of the data warehouse as :
Preferred Requirements :
